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@BOOK{meseguer-lncs-2026,
   OPTADDRESS   = {},
   OPTEDITION   = {},
   EDITOR       = {Jose Meseguer and Carlos A. Varela and 
      Nalini Venkatasubramanian},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   PUBLISHER    = {Springer Nature Switzerland},
   SERIES       = {Lecture Notes in Computer Science},
   TITLE        = {Concurrent Programming, Open Systems and Formal Methods: 
      Essays Dedicated to Gul Agha to Celebrate His Scientific Career},
   VOLUME       = {16120},
   YEAR         = {2026},
   ABSTRACT     = {This Festschrift is dedicated to Gul Agha in recognition 
      of his outstanding research and teaching impact. Gul Agha received 
      his undergraduate degree at Caltech in 1977 and his A.M., M.S. and 
      Ph.D. degrees at the University of Michigan, Ann Arbor. His thesis 
      led to the MIT Press book Actors: A Model of Concurrent Computation 
      in Distributed Systems, a work cited nearly 5000 times. After 
      researcher and lecturer appointments at MIT and Yale, he moved to the 
      University of Illinois, Urbana-Champaign, where he started as an 
      assistant professor in 1989 and subsequently become a full professor 
      and the founding director of the Open Systems Laboratory. The team's 
      goal is to develop concurrent programming languages and systems that 
      support applications with high-performance, fault-tolerance or 
      real-time requirements, and this work has been very influential 
      across domains such as Software Engineering, Formal Methods, 
      Programming Languages, Concurrency Theory, Distributed Systems, and 
      Cyber-Physical Systems. Gul Agha is a Fellow of the IEEE and a Fellow 
      of the ACM, other honors include the IBM Faculty Award, the ONR Young 
      Investigator Award, and the ACM Recognition of Service Award. Over 
      the course of his career Gul has been a highly impactful mentor, and 
      he has collaborated in research and in publications with a wide range 
      of scientists and engineers, in academia and in industry. Beyond his 
      deep expertise, they have been inspired by his well-rounded 
      intellect, philosophy of life, and sense of humor, and their 
      successes are reflected in the papers contributed to this volume.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   OPTKEYWORDS  = {},
   URL          = {https://doi.org/10.1007/978-3-032-05291-9},
   OPTURL-PUBLISHER = {}
}

@INBOOK{varela-lncs-2026,
   ADDRESS      = {Cham},
   AUTHOR       = {Carlos A. Varela},
   BOOKTITLE    = {Concurrent Programming, Open Systems and Formal Methods: Essays Dedicated to Gul Agha to Celebrate His Scientific Career},
   OPTEDITION   = {},
   EDITOR       = {Jose Meseguer and Carlos A. Varela and 
      Nalini Venkatasubramanian},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   PAGES        = {36--59},
   PUBLISHER    = {Springer Nature Switzerland},
   OPTSERIES    = {},
   TITLE        = {The AMST Language: Formal Verification and Execution of 
      Actor Systems},
   OPTTYPE      = {},
   OPTVOLUME    = {},
   YEAR         = {2026},
   ABSTRACT     = {We formalize Agha, Mason, Smith, and Talcott's actor 
      language (AMST)[2] using the Athena proof assistant[3]. Since Athena 
      is a dual deduction and computation language, we can both rigorously 
      prove formal properties of actor systems, as well as synthesize 
      executable actor code from the theory.},
   DOI          = {10.1007/978-3-032-05291-9_2},
   ISBN         = {978-3-032-05291-9},
   OPTISSN      = {},
   OPTKEYWORDS  = {},
   URL          = {https://doi.org/10.1007/978-3-032-05291-9_2},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/varela-lncs-2026.pdf}
}

@TECHREPORT{le-mccandless-varela-ivanov-verification-2026,
   OPTADDRESS   = {},
   AUTHOR       = {Dylan Le and Joel McCandless and Carlos A. Varela and 
      Radoslav Ivanov},
   INSTITUTION  = {Rensselaer Polytechnic Institute, Department of Computer Science},
   MONTH        = {April},
   NOTE         = {Invited Paper to IEEE Conference on Decision and Control (CDC) 2026.},
   OPTNUMBER    = {},
   TITLE        = {Verification of Autonomous Systems with Optimal 
      Controllers},
   OPTTYPE      = {},
   YEAR         = {2026},
   ABSTRACT     = {This paper considers the problem of reachability 
      analysis of control systems with optimal controllers, as a first step 
      towards verifying the safety and correctness of such systems. Despite 
      their appeal in guaranteeing task satisfaction through cost 
      minimization, optimal controllers are often challenging to assure. In 
      particular, as system dynamics grow in complexity, solving the 
      resulting optimization problem may be difficult, especially given 
      time and computation constraints on real platforms. Thus, it is 
      essential to verify that, even if the optimal solution is not always 
      found, such controllers still accomplish the high-level control 
      objective. In this paper, we focus on gradient descent algorithms and 
      design a reachability algorithm by treating gradient descent as a 
      separate (digital) dynamical system, embedded in the original 
      (physical) dynamical system, with controls as part of the state. We 
      evaluate the feasibility of the proposed method on two control 
      systems, a two-dimensional quadrotor and a cartpole.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {formal verification, autonomous systems, 
      optimal control, reachability analysis, gradient descent},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/cdc2026_techRep.pdf}
}

@MASTERSTHESIS{dhodaa_thesis,
   OPTADDRESS   = {},
   AUTHOR       = {Aditya Dhodapkar},
   MONTH        = {March},
   OPTNOTE      = {},
   SCHOOL       = {Rensselaer Polytechnic Institute},
   TITLE        = {Predictive Sectorization and Bayesian Optimized 
      Consensus for Admission Control in Autonomous Airspace Operations},
   OPTTYPE      = {},
   YEAR         = {2026},
   ABSTRACT     = {Modern air traffic management distributes authority 
      across many controllers and facilities, but within each sector a 
      single controller is the sole authority for separation and 
      sequencing. As traffic volumes grow and next generation concepts such 
      as NASA's Advanced Air Mobility push toward increasingly autonomous 
      flight, this per sector human dependency becomes a scaling 
      bottleneck. This thesis explores a multi stage pipeline for adaptive 
      airspace sectorization and decentralized admission control that can 
      reduce per sector workload without removing human oversight. We begin 
      by simulating replays of real FAA SWIM flight plan trajectories 
      across a three dimensional discretized airspace grid. A two stage 
      XGBoost predictor trained on scored partitions first determines 
      whether sectorization is needed, then states the optimal grid 
      configuration. The predicted grid defines sector boundaries that are 
      handed to a Paxos based consensus protocol, in which the aircraft 
      coordinate sector transitions. A Bayesian optimization loop driven by 
      a Gaussian Process surrogate searches for configurations that 
      maximize entry success rate while rejecting any setting that produces 
      a near mid air collision. Results show that the predictor reliably 
      selects appropriate grid configurations across diverse traffic 
      conditions, the consensus protocol maintains high entry success rates 
      as traffic scales, and Bayesian Optimization discovers that each 
      operating environment requires qualitatively different protocol 
      tuning.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {sectorization, consensus protocols, 
      bayesian optimization, autonomous decision making, 
      decentralized systems},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/dhodaa_thesis.pdf}
}

@ARTICLE{PAUL2025103184,
   AUTHOR       = {Saswata Paul and Chris McCarthy and Stacy Patterson and 
      Carlos Varela},
   JOURNAL      = {Science of Computer Programming},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTPAGES     = {},
   TITLE        = {Formal verification of timely knowledge propagation in 
      airborne networks},
   VOLUME       = {239},
   YEAR         = {2025},
   ABSTRACT     = {Ensuring timely coordination between autonomous aircraft 
      is a challenging problem in decentralized air traffic management 
      (ATM) applications for urban air mobility (UAM) scenarios. This paper 
      presents an approach for formally guaranteeing timely progress in a 
      Two-Phase Acknowledge distributed knowledge propagation protocol by 
      probabilistically modeling the delays using the theory of the 
      Multicopy Two-Hop Relay protocol and the M/M/1 queue system. The 
      guarantee states a probabilistic upper bound to the time for progress 
      as a function of the probabilities of the total transmission and 
      processing delays following two specific distributions. The proof 
      uses a general library of formal theories, that can be used for the 
      rigorous mechanical verification of autonomous aircraft coordination 
      protocols using the Athena proof checker and assistant.},
   DOI          = {https://doi.org/10.1016/j.scico.2024.103184},
   OPTISBN      = {},
   ISSN         = {0167-6423},
   KEYWORDS     = {Formal methods, Distributed systems, Autonomous systems, 
      Probabilistic properties, Theorem proving, Proof library},
   URL          = {https://www.sciencedirect.com/science/article/pii/S0167642324001072},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/paul_SCP_2024.pdf}
}

@MASTERSTHESIS{led2_thesis,
   OPTADDRESS   = {},
   AUTHOR       = {Dylan Le},
   MONTH        = {May},
   OPTNOTE      = {},
   SCHOOL       = {Rensselaer Polytechnic Institute},
   TITLE        = {Exploring Formal Methods for Provably Safe Autonomous 
      Cyber-Physical Systems},
   OPTTYPE      = {},
   YEAR         = {2025},
   ABSTRACT     = {The increasing complexity of autonomous cyber-physical 
      systems (CPS) necessitates rigorous verification techniques to ensure 
      safety and reliability. Safety-critical systems, such as those in 
      aerospace, automotive, and medical domains, operate under strict 
      constraints where failures can have catastrophic consequences. 
      Modelling autonomous CPS as a hybrid system allows for verification 
      of safety properties. Current verification methods, including model 
      checking and Satisfiability Modulo Theories (SMT) solvers, face 
      scalability challenges when dealing with large state spaces and 
      complex non-linear dynamics. This thesis investigates theorem proving 
      as a means to provide more scalable and explainable safety guarantees 
      for cyber-physical systems. As a case study, we analyze the Mountain 
      Car problem. We develop a discrete and continuous model for the 
      dynamics. In this thesis we provide a formal proof using theorem 
      proving and physical properties that shows that a simple controller 
      for Mountain Car, under specific conjectures, ensures it reaches the 
      goal position from any valid initial condition and without a finite 
      time bound for verification. The findings of this thesis highlight 
      the potential for theorem proving to enhance the explainability and 
      scalability of safety verification in autonomous cyber-physical 
      systems.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {autonomous systems, cyber-physical systems, 
      formal methods, model checking, theorem proving},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/led2_thesis.pdf}
}

@INBOOK{10.1007/978-3-031-52670-1_5,
   ADDRESS      = {Cham},
   AUTHOR       = {Peiyuan Zhou and Saswata Paul and Airin Dutta and 
      Carlos Varela and Fotis Kopsaftopoulos},
   BOOKTITLE    = {Dynamic Data Driven Applications Systems},
   OPTEDITION   = {},
   EDITOR       = {Erik Blasch and Frederica Darema and Alex Aved},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   PAGES        = {44--52},
   PUBLISHER    = {Springer Nature Switzerland},
   OPTSERIES    = {},
   TITLE        = {On Formal Verification of Data-Driven Flight Awareness: 
      Leveraging the Cramér-Rao Lower Bound of Stochastic Functional Time 
      Series Models},
   OPTTYPE      = {},
   OPTVOLUME    = {},
   YEAR         = {2024},
   ABSTRACT     = {This work investigates the application of the 
      Cram{\'e}r-Rao Lower Bound (CRLB) theorem, within the framework of 
      Dynamic Data Driven Applications Systems (DDDAS), in view of the 
      formal verificationof state estimates via stochastic Vector-dependent 
      Functionally Pooled Auto-Regressive (VFP-AR) models. The VFP-AR model 
      is identified via data obtained from wind tunnel experiments on a 
      ``fly-by-feel'' wing structure under multiple flight states (i.e., 
      angle of attack, velocity). The VFP-based CRLB of the state estimates 
      is derived for each true flight state reflecting the state estimation 
      capability of the model considering the data, model, and estimation 
      assumptions. Apart from the CRLB obtained from pristine data and 
      models, CRLBs are estimated using either artificially corrupted 
      testing data and/or sub-optimal models. Comparisons are made between 
      CRLB and state estimations from corrupted and pristine conditions. 
      The verification of the obtained state estimates is mechanically 
      verified the formal proof of the CRLB Theorem using Athena, which 
      provides irrefutable guarantee of soundness as long as specified 
      assumptions are followed. The results of the study indicate the 
      potential of using a CRLB-based formal verification framework for 
      state estimation via stochastic FP time series models.},
   OPTDOI       = {},
   ISBN         = {978-3-031-52670-1},
   OPTISSN      = {},
   KEYWORDS     = {AR models, CRLB, fly-by-feel, state awareness.},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/DDDAS2022_Zhou_etal.pdf}
}

@ARTICLE{cruz-jais-2023,
   AUTHOR       = {Elkin Cruz-Camacho and Ahmad Amer and 
      Fotis Kopsaftopoulos and Carlos A. Varela},
   JOURNAL      = {Journal of Aerospace Information Systems},
   OPTMONTH     = {},
   OPTNOTE      = {},
   NUMBER       = {1},
   PAGES        = {3--16},
   PUBLISHER    = {American Institute of Aeronautics and Astronautics},
   TITLE        = {Formal Safety Envelopes for Provably Accurate State 
      Classification by Data-Driven Flight Models},
   VOLUME       = {20},
   YEAR         = {2023},
   ABSTRACT     = {We present a novel approach to formally verify 
      data-driven models for state classification in the domain of 
      aerospace. Dynamic data-driven application systems (DDDAS) extend 
      first-principles models with dynamically sensed data enabling the 
      diagnosis and healing of aircrafts during flight. The intrinsic 
      complexity of these systems makes them prone to spurious errors 
      caused by unseen conditions. Formal (software) verification is a 
      technique that goes beyond unit testing or statistical model 
      checking, which can only guarantee system correctness over a fraction 
      of the system's input space. {\em Safety envelopes} bound regions of 
      the system's input space where a formal proof of correctness of state 
      classification holds. We focus on two questions for defining safety 
      envelope boundaries: ({\em i}) does the data follow the model? and 
      ({\em ii}) what is the most likely state of the system given the 
      data? We evaluate safety envelopes with data derived from a wind 
      tunnel experiment tackling the problem of stall detection given 
      piezo-electric sensor measurements over a wing's skin. We define 
      tailored metrics to show the quality of different data-driven models. 
      We encode safety envelopes in the proof assistant Agda, and 
      illustrate their applicability across a variety of input dimensions 
      and Gaussian Process Regression Model (GPRM)-generated data.},
   DOI          = {https://doi.org/10.2514/1.I011073},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {Formal verification, Agda, Safety envelopes, 
      Runtime verification, dddas},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/cruz-jais-2022.pdf}
}

@ARTICLE{paul_2023_aesm,
   AUTHOR       = {Saswata Paul and Elkin Cruz and Airin Dutta and 
      Ankita Bhaumik and Erik Blasch and Gul Agha and Stacy Patterson and 
      Fotis Kopsaftopoulos and Carlos Varela},
   JOURNAL      = {IEEE Aerospace and Electronic Systems Magazine},
   OPTMONTH     = {},
   OPTNOTE      = {},
   NUMBER       = {5},
   PAGES        = {72-88},
   TITLE        = {Formal Verification of Safety-Critical Aerospace Systems},
   VOLUME       = {38},
   YEAR         = {2023},
   ABSTRACT     = {Developments in autonomous aircraft, such as electrical 
      vertical take-off and landing vehicles and multicopter drones, raise 
      safety-critical concerns in populated areas. This article presents 
      the Analysis of Safety-Critical Systems Using Formal Methods-Based 
      Runtime Evaluation (ASSURE) framework, which is a collection of 
      techniques for aiding in the formal verification of safety-critical 
      aerospace systems. ASSURE supports the rigorous verification of 
      deterministic and nondeterministic properties of both distributed and 
      centralized aerospace applications by using formal theorem proving 
      tools. We present verifiable algorithms and software, formal 
      reasoning models, formal proof libraries, and a data-driven runtime 
      verification approach for aerospace systems toward a provably safe 
      Internet of Planes infrastructure.},
   DOI          = {https://doi.org/10.1109/MAES.2023.3238378},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {theorem proving, runtime verification, 
      stochastic systems, distributed systems},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/paul_2023_aesm.pdf}
}

@MASTERSTHESIS{wilkea2_thesis,
   OPTADDRESS   = {},
   AUTHOR       = {Andrew Wilkerson},
   MONTH        = {December},
   OPTNOTE      = {},
   SCHOOL       = {Rensselaer Polytechnic Institute},
   TITLE        = {Deadlock Freedom in Actor Languages},
   OPTTYPE      = {},
   YEAR         = {2023},
   ABSTRACT     = {We introduce a framework using session types for 
      denoting the relationships between multiple actors in a system. We 
      prove that ascribing to this framework guarantees deadlock freedom, 
      and demonstrate tests of how an implementation of such would work in 
      the SALSA language.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {deadlock, distributed computing, session types},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/wilkea2_thesis.pdf}
}

@PHDTHESIS{paul-phd-2022,
   OPTADDRESS   = {},
   AUTHOR       = {Saswata Paul},
   OPTMONTH     = {},
   OPTNOTE      = {},
   SCHOOL       = {Rensselaer Polytechnic Institute},
   TITLE        = {Formal Verification of Decentralized Coordination in 
      Autonomous Multi-Agent Aerospace Systems},
   OPTTYPE      = {},
   YEAR         = {2022},
   ABSTRACT     = {As autonomous vehicular technologies such as 
      self-driving cars and uncrewed aircraft systems (UAS) evolve to 
      become more accessible and cost-efficient, autonomous multi-agent 
      systems, that comprise of such entities, will become ubiquitous in 
      the near future. The close operational proximity between such 
      autonomous agents will warrant the need for multi-agent coordination 
      to ensure safe operations. In this thesis, we adopt a formal 
      methods-based approach to investigate multi-agent coordination for 
      safety-critical autonomous multi-agent systems. We explore algorithms 
      that can be used for decentralized multi-agent coordination among 
      autonomous mobile agents by communicating over asynchronous 
      vehicle-to-vehicle (V2V) networks that can be prone to agent 
      failures. In particular, we study two types of distributed algorithms 
      that are useful for decentralized coordination â consensus, which 
      can be used by autonomous agents to agree on a set of compatible 
      operations; and knowledge propagation, which can be used to ensure 
      sufficient situational awareness in autonomous multi-agent systems. 
      We develop the first machine-checked proof of eventual progress for 
      the Synod consensus algorithm, that does not assume a unique leader. 
      To consider agent failures while reasoning about progress, we 
      introduce a novel Failure-Aware Actor Model (FAM). We then propose a 
      formally verified Two-Phase Acknowledge Protocol (TAP) for knowledge 
      propagation that can establish a safe state of knowledge suitable for 
      autonomous vehicular operations. The non-deterministic and dynamic 
      operating conditions of distributed algorithms deployed over 
      asynchronous V2V networks make it challenging to provide appropriate 
      formal guarantees for the algorithms. To address this, we introduce 
      probabilistic correctness properties that can be developed by 
      stochastically modeling the systems. We present a formal proof 
      library that can be used for reasoning about probabilistic properties 
      of distributed algorithms deployed over V2V networks. We also propose 
      a Dynamic Data-Driven Applications Systems (DDDAS)-based approach for 
      the runtime verification of distributed algorithms. This approach 
      uses parameterized proofs, which can be instantiated at runtime, and 
      progress envelopes, which can divide the operational state space into 
      distinct regions where a proof of progress may or may not hold. To 
      motivate our verification of decentralized coordination, we introduce 
      an autonomous air traffic management (ATM) technique for 
      multi-aircraft systems called Decentralized Admission Control (DAC).},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {formal verification, Athena, distributed systems, 
      distributed computing, air traffic management, autonomous systems, 
      runtime verification, cyber physical systems},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/paul_phd_dissertation_new.pdf}
}

@ARTICLE{paul-isse-2022,
   ADDRESS      = {Cham},
   AUTHOR       = {Saswata Paul and Gul A. Agha and Stacy Patterson and 
      Carlos A. Varela},
   JOURNAL      = {Innovations in Systems and Software Engineering - A NASA Journal},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTPAGES     = {},
   PUBLISHER    = {Springer Nature},
   TITLE        = {Eventual Consensus in Synod: Verification using a 
      Failure-Aware Actor Model},
   OPTVOLUME    = {},
   YEAR         = {2022},
   ABSTRACT     = {Successfully attaining consensus in the absence of a 
      centralized coordinator is a fundamental problem in distributed 
      multi-agent systems. We analyze progress in the Synod consensus 
      protocol â which does not assume a unique leader â under the 
      assumptions of asynchronous communication and potential agent 
      failures. We identify a set of sufficient conditions under which it 
      is possible to guarantee that a set of agents will eventually attain 
      consensus using Synod. First, a subset of the agents must not 
      permanently fail or exhibit Byzantine failure until consensus is 
      reached, and second, at least one proposal must be eventually 
      uninterrupted by higher-numbered proposals. To formally reason about 
      agent failures, we introduce a failure-aware actor model (FAM). Using 
      FAM, we model the identified conditions and provide a formal proof of 
      eventual progress in Synod. Our proof has been mechanically verified 
      using the Athena proof assistant and, to the best of our knowledge, 
      it is the first machine-checked proof of eventual progress in Synod.},
   DOI          = {https://doi.org/10.1007/s11334-022-00463-5},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {formal verification, Athena, distributed systems, 
      distributed computing, air traffic management, consensus, 
      actor model},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/paul-ISSE-2022.pdf}
}

@INBOOK{chen-springer-2022,
   ADDRESS      = {Cham},
   AUTHOR       = {Sida Chen and Shigeru Imai and Wennan Zhu and 
      Carlos A. Varela},
   BOOKTITLE    = {Handbook of Dynamic Data Driven Applications Systems: Volume 1},
   OPTEDITION   = {},
   EDITOR       = {Erik P. Blasch and Frederica Darema and Sai Ravela and 
      Alex J. Aved},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   PAGES        = {103--127},
   PUBLISHER    = {Springer International Publishing},
   OPTSERIES    = {},
   TITLE        = {Towards Learning Spatio-Temporal Data Stream 
      Relationships for Failure Detection in Avionics},
   OPTTYPE      = {},
   OPTVOLUME    = {},
   YEAR         = {2022},
   ABSTRACT     = {Spatio-temporal data streams are often related in 
      complex ways, for example, while the airspeed that an aircraft 
      attains in cruise phase depends on the weight it carries, it also 
      depends on many other factors. Some of these factors are controllable 
      such as engine inputs or the airframe's angle of attack, while others 
      contextual, such as air density, or turbulence. It is therefore 
      critical to develop failure models that can help recognize errors in 
      the data, such as an incorrect fuel quantity, a malfunctioning 
      pitot-static system, or other abnormal flight conditions. In this 
      paper, we extend our PILOTS programming language [1] to support 
      machine learning techniques that will help data scientists: (1) 
      create parameterized failure models from data and (2) continuously 
      train a statistical model as new evidence (data) arrives. The linear 
      regression approach learns parameters of a linear model to minimize 
      least squares error for given training data. The Bayesian approach 
      classifies operating modes according to supervised offline training 
      and can discover new statistically significant modes online. As shown 
      in Tuninter 1153 simulation result, dynamic Bayes classifier finds 
      discrete error states on the fly while the error signatures approach 
      requires every error state predefined. Using synthetic data, we 
      compare the accuracy, response time, and adaptability of these 
      machine learning techniques. Future dynamic data driven applications 
      systems (DDDAS) using machine learning can identify complex dynamic 
      data-driven failure models, which will in turn enable more accurate 
      flight planning and control for emergency conditions.},
   DOI          = {10.1007/978-3-030-74568-4_5},
   ISBN         = {978-3-030-74568-4},
   OPTISSN      = {},
   KEYWORDS     = {programming languages, data streaming, 
      cyber physical systems},
   URL          = {https://doi.org/10.1007/978-3-030-74568-4_5},
   OPTURL-PUBLISHER = {}
}

@INBOOK{Giancola2022,
   ADDRESS      = {Cham},
   AUTHOR       = {Michael Giancola and Selmer Bringsjord and 
      Naveen Sundar Govindarajulu and Carlos Varela},
   BOOKTITLE    = {Towards Trustworthy Artificial Intelligent Systems},
   OPTEDITION   = {},
   EDITOR       = {Maria Isabel Aldinhas Ferreira and Mohammad Osman Tokhi},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   PAGES        = {127--142},
   PUBLISHER    = {Springer International Publishing},
   OPTSERIES    = {},
   TITLE        = {Making Maximally Ethical Decisions via Cognitive 
      Likelihood and Formal Planning},
   OPTTYPE      = {},
   OPTVOLUME    = {},
   YEAR         = {2022},
   ABSTRACT     = {This chapter attempts to give an answer to the following 
      question: Given an obligation and a set of potentially-inconsistent, 
      ethically-charged beliefs, how can an artificially-intelligent agent 
      ensure that its actions maximize the likelihood that the obligation 
      is satisfied? Our approach to answering this question is in the 
      intersection of several areas of research, including automated 
      planning, reasoning with uncertainty, and argumentation. We exemplify 
      our reasoning framework in a case study based on the famous, heroic 
      ditching of US Airways Flight 1549, an event colloquially known as 
      the ``Miracle on the Hudson.''},
   DOI          = {10.1007/978-3-031-09823-9_10},
   ISBN         = {978-3-031-09823-9},
   OPTISSN      = {},
   OPTKEYWORDS  = {},
   URL          = {https://doi.org/10.1007/978-3-031-09823-9_10},
   OPTURL-PUBLISHER = {}
}

@INPROCEEDINGS{9861025,
   OPTADDRESS   = {},
   AUTHOR       = {Lorson Blair and Carlos A. Varela and Stacy Patterson},
   BOOKTITLE    = {2022 IEEE 15th International Conference on Cloud Computing (CLOUD)},
   OPTEDITOR    = {},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {247-256},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {A Continuum Approach for Collaborative Task Processing 
      in UAV MEC Networks},
   OPTVOLUME    = {},
   YEAR         = {2022},
   ABSTRACT     = {Unmanned aerial vehicles (UAVs) are becoming a viable 
      platform for sensing and estimation in a wide variety of applications 
      including disaster response, search and rescue, and security 
      monitoring. These sensing UAVs have limited battery and computational 
      capabilities, and thus must offload their data so it can be processed 
      to provide actionable intelligence. We consider a compute platform 
      consisting of a limited number of highly-resourced UAVs that act as 
      mobile edge computing (MEC) servers to process the workload on 
      premises. We propose a novel distributed solution to the 
      collaborative processing problem that adaptively positions the MEC 
      UAVs in response to the changing workload that arises both from the 
      sensing UAVsâ mobility and the task generation. Our solution 
      consists of two key building blocks: (1) an efficient workload 
      estimation process by which the UAVs estimate the task fieldâa 
      continuous approximation of the number of tasks to be processed at 
      each location in the airspace, and (2) a distributed optimization 
      method by which the UAVs partition the task field so as to maximize 
      the system throughput. We evaluate our proposed solution using 
      realistic models of surveillance UAV mobility and show that our 
      method achieves up to 28% improvement in throughput over a 
      non-adaptive baseline approach.},
   DOI          = {10.1109/CLOUD55607.2022.00046},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {Edge Computing, Cloud Computing, Distributed Computing, 
      Cyber Physical Systems},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/IEEE_CLOUD_2022.pdf}
}

@PHDTHESIS{castellanos-thesis-2021,
   OPTADDRESS   = {},
   AUTHOR       = {Camilo Castellanos},
   OPTMONTH     = {},
   OPTNOTE      = {},
   SCHOOL       = {Universidad de Los Andes},
   TITLE        = {Executable Architectural Models for Big Data Analytics 
      Development and Deployment},
   OPTTYPE      = {},
   YEAR         = {2021},
   ABSTRACT     = {With recent big data analytics (BDA) proliferation, 
      enterprises collect and transform data to perform predictive analyses 
      on a scale that a few years ago was not possible. BDA methodologies 
      involve business, analytics, and technology domains. Each domain 
      deals with different concern at different abstraction levels, but 
      current BDA development does not consider the formal integration 
      among these domains. Hence, the deployment procedure usually implies 
      rewriting code to be deployed on specific IT infrastructures to 
      obtain software aligned to functional and nonfunctional requirements. 
      Moreover, surveys have reported a high cost and error-prone 
      transition between analytics development (data lab) and productive 
      environments. This thesis explores the challenges faced by 
      stakeholders in BDA application development and presents a 
      domainspecific model (DSM) approach to design, validate, and generate 
      BDA applications from an architectural perspective, bridging the gap 
      between analytics and IT architecture domains. First, we report our 
      survey results on BDA application deployment applied to BDA 
      practitioners to identify current practices and challenges. Second, 
      the ACCORDANT reference architecture with tactics and patterns 
      catalog to facilitate BDA adoption. Next, we present ACCORDANT 
      modeling framework, a DSM to design and deploy BDA applications via 
      the specification of architectural inputs, functional, and deployment 
      views. Then, we state an approach to specify and evaluate constraints 
      using object constraints and semantic reasoning in BDA architectures 
      conforming to ACCORDANT. Finally, we report the results of this 
      proposalâs application based on case studies and a survey that 
      compares our approach and other according to 34 respondents.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {big data},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/castellanos_thesis_2021.pdf}
}

@ARTICLE{castellanos-accordant-2020,
   AUTHOR       = {Camilo Castellanos and Carlos A. Varela and 
      Dario Correal},
   JOURNAL      = {Journal of Systems and Software},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   PAGES        = {110869},
   TITLE        = {ACCORDANT: A domain specific-model and DevOps approach 
      for big data analytics architectures},
   VOLUME       = {172},
   YEAR         = {2021},
   ABSTRACT     = {Big data analytics (BDA) applications use machine 
      learning algorithms to extract valuable insights from large, fast, 
      and heterogeneous data sources. New software engineering challenges 
      for BDA applications include ensuring performance levels of 
      data-driven algorithms even in the presence of large data volume, 
      velocity, and variety (3Vs). BDA software complexity frequently leads 
      to delayed deployments, longer development cycles, and challenging 
      performance assessment. This paper proposes a Domain-Specific Model 
      (DSM), and DevOps practices to design, deploy, and monitor 
      performance metrics in BDA applications. Our proposal includes a 
      design process, and a framework to define architectural inputs, 
      software components, and deployment strategies through integrated 
      high-level abstractions to enable QS monitoring. We evaluate our 
      approach with four use cases from different domains to demonstrate a 
      high level of generalization. Our results show a shorter deployment 
      and monitoring times, and a higher gain factor per iteration compared 
      to similar approaches.},
   DOI          = {https://doi.org/10.1016/j.jss.2020.110869},
   OPTISBN      = {},
   ISSN         = {0164-1212},
   KEYWORDS     = {Software architecture, Big data analytics deployment, 
      DevOps, Domain-specific model, Quality scenarios, 
      Performance monitoring},
   URL          = {http://www.sciencedirect.com/science/article/pii/S0164121220302594},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/accordant_2020.pdf}
}

@ARTICLE{giancola-making-2021,
   AUTHOR       = {Michael Giancola and Selmer Bringsjord and 
      Naveen Sundar Govindarajulu and Carlos Varela},
   JOURNAL      = {Towards Trustworthy Artificial Intelligent Systems, ed. M. Ferreira (Springer)},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTPAGES     = {},
   TITLE        = {Making Maximally Ethical Decisions via Cognitive 
      Likelihood & Formal Planning},
   OPTVOLUME    = {},
   YEAR         = {2021},
   ABSTRACT     = {This chapter attempts to give an answer to the following 
      question: Given an obligation and a set of potentially-inconsistent, 
      ethically-charged beliefs, how can an artificially-intelligent agent 
      ensure that its actions maximize the likelihood that the obligation 
      is satisfied? Our approach to answering this question is in the 
      intersection of several areas of research, including automated 
      planning, reasoning with uncertainty, and argumentation. We exemplify 
      our reasoning framework in a case study based on the famous, heroic 
      ditching of US Airways Flight 1549, an event colloquially known as 
      the âMiracle on the Hudson.â},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   OPTKEYWORDS  = {},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/giancolamaking2021.pdf}
}

@ARTICLE{mang-mdpi-verdict-2021,
   AUTHOR       = {Baoluo Meng and Daniel Larraz and Kit Siu and 
      Abha Moitra and John Interrante and William Smith and Saswata Paul and 
      Daniel Prince and Heber Herencia-Zapana and M. Fareed Arif and 
      Moosa Yahyazadeh and Tekken Valapil, Vidhya and Michael Durling and 
      Cesare Tinelli and Omar Chowdhury},
   JOURNAL      = {Systems},
   OPTMONTH     = {},
   OPTNOTE      = {},
   NUMBER       = {1},
   OPTPAGES     = {},
   TITLE        = {VERDICT: A Language and Framework for Engineering Cyber 
      Resilient and Safe System},
   VOLUME       = {9},
   YEAR         = {2021},
   ABSTRACT     = {The ever-increasing complexity of cyber-physical systems 
      is driving the need for assurance of critical infrastructure and 
      embedded systems. However, traditional methods to secure 
      cyber-physical systemsâe.g., using cyber best practices, adapting 
      mechanisms from information technology systems, and penetration 
      testing followed by patchingâare becoming ineffective. This paper 
      describes, in detail, Verification Evidence and Resilient Design In 
      anticipation of Cybersecurity Threats (VERDICT), a language and 
      framework to address cyber resiliency. When we use the term 
      resiliency, we mean hardening a system such that it anticipates and 
      withstands attacks. VERDICT analyzes a system in the face of cyber 
      threats and recommends design improvements that can be applied early 
      in the system engineering process. This is done in two steps: (1) 
      Analyzing at the system architectural level, with respect to cyber 
      and safety requirements and (2) by analyzing at the component 
      behavioral level, with respect to a set of cyber-resiliency 
      properties. The framework consists of three parts: (1) Model-Based 
      Architectural Analysis and Synthesis (MBAAS); (2) Assurance Case 
      Fragments Generation (ACFG); and (3) Cyber Resiliency Verifier (CRV). 
      The VERDICT language is an Architecture Analysis and Design Language 
      (AADL) annex for modeling the safety and security aspects of a 
      systemâs architecture. MBAAS performs probabilistic analyses, 
      suggests defenses to mitigate attacks, and generates attack-defense 
      trees and fault trees as evidence of resiliency and safety. It can 
      also synthesize optimal defense solutionsâwith respect to 
      implementation costs. In addition, ACFG assembles MBAAS evidence into 
      goal structuring notation for certification purposes. CRV analyzes 
      behavioral aspects of the system (i.e., the design model)âmodeled 
      using the Assume-Guarantee Reasoning Environment (AGREE) annex and 
      checked against cyber resiliency properties using the Kind 2 model 
      checker. When a property is proved or disproved, a minimal set of 
      vital system components responsible for the proof/disproof are 
      identified. CRV also provides rich and localized diagnostics so the 
      user can quickly identify problems and fix the design model. This 
      paper describes the VERDICT language and each part of the framework 
      in detail and includes a case study to demonstrate the effectiveness 
      of VERDICTâin this case, a delivery drone.},
   DOI          = {10.3390/systems9010018},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {cyber security, formal verification, assurance case},
   URL          = {https://www.mdpi.com/2079-8954/9/1/18},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/systems-09-00018.pdf}
}

@INPROCEEDINGS{bhaumik-dasc-2021,
   OPTADDRESS   = {},
   AUTHOR       = {Ankita Bhaumik and Airin Dutta and Fotis Kopsaftopoulos and 
      Carlos A. Varela},
   BOOKTITLE    = {The 40th AIAA/IEEE Digital Avionics Systems Conference (DASC 2021)},
   OPTEDITOR    = {},
   MONTH        = {October},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Proving the Correctness of Multicopter Rotor Fault 
      Detection and Identification Software},
   OPTVOLUME    = {},
   YEAR         = {2021},
   ABSTRACT     = {Applications for data-driven systems are expected to be 
      correct implementations of the system specifications, but developers 
      usually test against a few indicative scenarios to verify them. In 
      the absence of exhaustive testing, errors may occur in real time 
      scenarios, especially when dealing with large data streams from 
      moving objects like multicopters, vehicles, etc. Model checking 
      techniques also lack scalability and completeness. We present a novel 
      approach based on some existing tools which enables a developer to 
      write high level code directly as system specifications and 
      simultaneously be able to prove the correctness of the generated 
      code. We present a fault detection and identification (FDI) software 
      development approach using declarative programming language: PILOTS. 
      The grammar of PILOTS has been updated to enable easier syntax for 
      threshold validation techniques. The failure detection model is 
      described as high level specifications that the generated code has to 
      adhere to. The complete FDI problem is formally specified using Hoare 
      logic and proven correct using an automated proof assistant: Dafny. A 
      case study of rotor failures in a hexacopter has been used to 
      illustrate the approach and visualize the results.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {fault detection, formal verification, multicopter, 
      declarative programming, Dafny},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {https://wcl.cs.rpi.edu/papers/bhaumik_et_al_DASC2021.pdf}
}

@INPROCEEDINGS{meng-safecomp-2021,
   ADDRESS      = {Cham},
   AUTHOR       = {Baoluo Meng and Saswata Paul and Abha Moitra and Kit Siu and 
      Michael Durling},
   BOOKTITLE    = {Computer Safety, Reliability, and Security},
   EDITOR       = {Ibrahim Habli and Mark Sujan and Friedemann Bitsch},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {101--114},
   PUBLISHER    = {Springer International Publishing},
   OPTSERIES    = {},
   TITLE        = {Automating the Assembly of Security Assurance Case 
      Fragments},
   OPTVOLUME    = {},
   YEAR         = {2021},
   ABSTRACT     = {This paper presents an approach and tools for automatic 
      generation of security assurance case fragments using patterns for 
      arguing the security of cyber physical systems. The fragments are 
      generated using augmented Goal Structuring Notation (GSN) and can 
      succinctly convey a system's resilience to cyber-threats specified in 
      MITRE's Common Attack Pattern Enumeration and Classification (CAPEC). 
      The GSN schema has been augmented with additional metadata that can 
      be used for visually tracing back to component-level CAPEC threats 
      from higher-level cyber security claims, enabling designers to easily 
      locate flaws in a model when one or more claims cannot be 
      substantiated. An implementation of the approach as a part of the 
      Verification Evidence and Resilient Design in Anticipation of 
      Cybersecurity Threats (VERDICT) toolchain has also been demonstrated 
      along with a case study of a package delivery drone.},
   OPTDOI       = {},
   ISBN         = {978-3-030-83903-1},
   OPTISSN      = {},
   KEYWORDS     = {cyber security, formal verification, assurance case},
   URL          = {https://link.springer.com/chapter/10.1007%2F978-3-030-83903-1_7},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/meng_safecomp_2021.pdf}
}

@INPROCEEDINGS{paul-nfm-2021,
   ADDRESS      = {Cham},
   AUTHOR       = {Saswata Paul and Gul A. Agha and Stacy Patterson and 
      Carlos A. Varela},
   BOOKTITLE    = {NASA Formal Methods},
   OPTEDITOR    = {},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {249--267},
   PUBLISHER    = {Springer International Publishing},
   OPTSERIES    = {},
   TITLE        = {Verification of Eventual Consensus in Synod using a 
      Failure-Aware Actor Model},
   OPTVOLUME    = {},
   YEAR         = {2021},
   ABSTRACT     = {Successfully attaining consensus in the absence of a 
      centralized coordinator is a fundamental problem in distributed 
      multi-agent systems. We analyze progress in the Synod consensus 
      protocolâwhich does not assume a unique leaderâunder the 
      assumptions of asynchronous communication and potential agent 
      failures. We identify a set of sufficient conditions under which it 
      is possible to guarantee that a set of agents will eventually attain 
      consensus. First, a subset of the agents must behave correctly and 
      not permanently fail until consensus is reached, and second, at least 
      one proposal must be eventually uninterrupted by higher-numbered 
      proposals. To formally reason about agent failures, we introduce a 
      failure-aware actor model (FAM). Using FAM, we model the identified 
      conditions and provide a formal proof of eventual progress in Synod. 
      Our proof has been mechanically verified using the Athena proof 
      assistant and, to the best of our knowledge, it is the first 
      machine-checked proof of eventual progress in Synod.},
   OPTDOI       = {},
   ISBN         = {978-3-030-76384-8},
   OPTISSN      = {},
   KEYWORDS     = {formal verification, Athena, distributed systems, 
      distributed computing, air traffic management, consensus, 
      actor model},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/NFM2021_paul.pdf}
}

@INPROCEEDINGS{paul-fmas-2021,
   OPTADDRESS   = {},
   AUTHOR       = {Saswata Paul and Stacy Patterson and Carlos Varela},
   BOOKTITLE    = {Proceedings Third Workshop on Formal Methods for Autonomous Systems, Virtual, 21st-22nd of October 2021},
   EDITOR       = {Marie Farrell and Matt Luckcuck},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {73-91},
   PUBLISHER    = {Open Publishing Association},
   SERIES       = {Electronic Proceedings in Theoretical Computer Science},
   TITLE        = {Formal Guarantees of Timely Progress for Distributed 
      Knowledge Propagation},
   VOLUME       = {348},
   YEAR         = {2021},
   ABSTRACT     = {Autonomous air traffic management (ATM) operations for 
      urban air mobility (UAM) will necessitate the use of distributed 
      protocols for decentralized coordination between aircraft. As UAM 
      operations are time-critical, it will be imperative to have formal 
      guarantees of progress for the distributed protocols used in ATM. 
      Under asynchronous settings, message transmission and processing 
      delays are unbounded, making it impossible to provide deterministic 
      bounds on the time required to make progress. We present an approach 
      for formally guaranteeing timely progress in a Two-Phase Acknowledge 
      distributed knowledge propagation protocol by probabilistically 
      modeling the delays using theories of the Multicopy Two-Hop Relay 
      protocol and the M/M/1 queue system. The guarantee states a 
      probabilistic upper bound to the time for progress as a function of 
      the probabilities of the total transmission and processing delays 
      being less than two given values. We also showcase the development of 
      a library of formal theories, that is tailored towards reasoning 
      about timely progress in distributed protocols deployed in airborne 
      networks, in the Athena proof assistant.},
   DOI          = {10.4204/EPTCS.348.5},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {formal verification, Athena, distributed systems, 
      distributed computing, air traffic management, formal verification, 
      Athena, distributed systems, distributed computing, 
      air traffic management},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/FMAS2021_paul.pdf}
}

@INPROCEEDINGS{valapil-dasc-2021,
   ADDRESS      = {San Antonio, TX},
   AUTHOR       = {Vidhya Tekken Valapil and Heber Herencia-Zapana and 
      Michael Durling and Kristen Armstrong and Saswata Paul and 
      Szabolcs Borgyos and Abha Moitra and William Premerlani},
   BOOKTITLE    = {The 40th AIAA/IEEE Digital Avionics Systems Conference (DASC 2021)},
   OPTEDITOR    = {},
   MONTH        = {October},
   NOTE         = {Best Paper Award},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Towards Formalization of a Data Model for Operational 
      Risk Assessment},
   OPTVOLUME    = {},
   YEAR         = {2021},
   ABSTRACT     = {Operational Risk Assessment (ORA) is a process used to 
      demonstrate and verify that the resultant risk of a planned operation 
      meets certain required safety standards. Subject matter experts (SME) 
      from different domains often use different approaches and 
      terminologies to design ORAs. This leads to long review cycles and 
      creates potential for inconsistent understanding of risks and/or 
      application of mitigations by different practitioners across the 
      safety-risk-chain. In this paper, to formalize ORA data 
      representation we propose a set of common terminologies to be used 
      while capturing ORA data. The proposed terminologies trace to 
      existing standards and to terminologies used in risk data 
      visualization methodologies. We also present a formal data model for 
      ORA, that uses the proposed terminologies, in SADL (Semantic 
      Application Design Language), thereby allowing SMEs to capture their 
      knowledge as formal artifacts that are amenable to machine 
      manipulation and automation. Furthermore, since ORA data is often 
      captured in an excel format, we illustrate the use of an excel 
      template that uses the proposed terminologies, by capturing 
      assessment data corresponding to an example use case scenario in the 
      template. Finally, to enable visualization of the ORA data, we 
      discuss representing them as Bowtie diagrams. A Bowtie diagram is a 
      pictorial representation that captures the relationship between a 
      hazard, its causes and its consequences in a given specific 
      environment or system state. To enable the benefits of Bowtie 
      representation we map the proposed ORA terminologies to elements in a 
      Bowtie model. We illustrate visualization of the ORA data as a Bowtie 
      diagram by generating a Bowtie diagram capturing the ORA data 
      corresponding to the example use case scenario considered in the 
      paper.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {high assurance, air traffic management, formal methods},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/DASC2021_valapil.pdf}
}

@TECHREPORT{paul-eventualsynod-2021,
   OPTADDRESS   = {},
   AUTHOR       = {Saswata Paul and Gul A. Agha and Stacy Patterson and 
      Carlos A. Varela},
   INSTITUTION  = {Rensselaer Polytechnic Institute, Department of Computer Science},
   OPTMONTH     = {},
   NOTE         = {This report is an extended version of the NASA Formal Methods Symposium 2021 proceedings paper.},
   OPTNUMBER    = {},
   TITLE        = {Verification of Eventual Consensus in Synod using a 
      Failure-Aware Actor Model},
   OPTTYPE      = {},
   YEAR         = {2021},
   ABSTRACT     = {Successfully attaining consensus in the absence of a 
      centralized coordinator is a fundamental problem in distributed 
      multi-agent systems. We analyze progress in the Synod consensus 
      protocolâwhich does not assume a unique leaderâunder the 
      assumptions of asynchronous communication and potential agent 
      failures. We identify a set of sufficient conditions under which it 
      is possible to guarantee that a set of agents will eventually attain 
      consensus. First, a subset of the agents must behave correctly and 
      not permanently fail until consensus is reached, and second, at least 
      one proposal must be eventually uninterrupted by higher-numbered 
      proposals. To formally reason about agent failures, we introduce a 
      failure-aware actor model (FAM). Using FAM, we model the identified 
      conditions and provide a formal proof of eventual progress in Synod. 
      Our proof has been mechanically verified using the Athena proof 
      assistant and, to the best of our knowledge, it is the first 
      machine-checked proof of eventual progress in Synod.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {Synod, Paxos, actor model, formal verification, 
      distributed computing, distributed systems, Athena, 
      formal verification, Athena, distributed systems, 
      air traffic management, consensus, actor model},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/nfm2021_techRep.pdf}
}

@PROCEEDINGS{varela-ccgrid-2020,
   OPTADDRESS   = {},
   BOOKTITLE    = {CCGRID},
   EDITOR       = {Laurent Lefevre and Carlos A. Varela and George Pallis and 
      Adel N. Toosi and Omer Rana and Rajkumar Buyya},
   OPTMONTH     = {},
   NOTE         = {Due to COVID 19, the conference will now physically take place in 2021},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PUBLISHER    = {IEEE},
   OPTSERIES    = {},
   TITLE        = {20th IEEE/ACM International Symposium on Cluster, Cloud 
      and Internet Computing, CCGrid 2020, Melbourne, Victoria, Australia, 
      May 11-14, 2020},
   OPTVOLUME    = {},
   YEAR         = {2020},
   OPTABSTRACT  = {},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, cloud computing},
   URL          = {http://cloudbus.org/ccgrid2020/CCGrid2020-Proceedings-FrontMatter.pdf},
   OPTURL-PUBLISHER = {}
}

@INCOLLECTION{paul-hbdddas-2020,
   OPTADDRESS   = {},
   AUTHOR       = {Saswata Paul and Fotis Kopsaftopoulos and 
      Stacy Patterson and Carlos A. Varela},
   BOOKTITLE    = {Handbook of Dynamic Data-Driven Application Systems},
   OPTCHAPTER   = {},
   OPTEDITION   = {},
   EDITOR       = {Frederica Darema and Erik Blasch},
   OPTMONTH     = {},
   NOTE         = {Preprint. To appear.},
   OPTNUMBER    = {},
   OPTPAGES     = {},
   PUBLISHER    = {Springer},
   OPTSERIES    = {},
   TITLE        = {Towards Formal Correctness Envelopes for Dynamic 
      Data-Driven Aerospace Systems},
   OPTTYPE      = {},
   OPTVOLUME    = {},
   YEAR         = {2020},
   ABSTRACT     = {Intelligent aerospace systems of the future are expected 
      to be ``smarter'' and more self-sufficient in terms of 
      self-diagnosis, self-healing, overall situational awareness, and safe 
      navigation. This will be facilitated by access to a vast amount of 
      real-time data from on-board sensors, other aircraft, ground 
      stations, and satellites. Dynamic data-driven application systems 
      (DDDAS) can be used to incorporate real-time data for creating 
      high-fidelity models to aid in flight-diagnosis and decision-making. 
      DDDAS techniques accommodate the fusion of dynamic-data, algorithms, 
      computation, and interpretation, making them apposite for use in 
      safety-critical cyber-physical systems. In safety-critical systems, 
      it is important to have irrefutable system guarantees. Formal methods 
      allow the development of machine-checked correctness proofs for such 
      guarantees, facilitating the verification of such systems on infinite 
      states. This chapter presents formal correctness envelopes, analogous 
      to performance envelopes of an aircraft, which represent the 
      operating conditions under which the guarantees regarding a system's 
      properties hold. These correctness envelopes are data-driven, 
      allowing them to be computed, quantified, and monitored in real-time. 
      Examples of safety envelopes and progress envelopes, which represent 
      subsets of the DDDAS state space where safety and progress guarantees 
      of a system are valid respectively, have been discussed. Correctness 
      sentinels are executable programs that use the notion of correctness 
      envelopes to monitor real-time data-streams and detect the status of 
      a system's state with respect to relevant envelopes during runtime. 
      At any given point of time, correctness sentinels can provide useful 
      information about which system properties can be guaranteed and with 
      how much confidence.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {dddas, data streaming, cyber physical systems, 
      distributed computing, formal verification, air traffic management},
   URL          = {http://wcl.cs.rpi.edu/papers/DDDASHndbk2020_paul.pdf},
   OPTURL-PUBLISHER = {}
}

@INPROCEEDINGS{ahmed-dddas-2020,
   ADDRESS      = {Cambridge, MA},
   AUTHOR       = {Shabbir Ahmed and Ahmad Amer and Carlos Varela and 
      Fotis Kopsaftopoulos},
   BOOKTITLE    = {Dynamic Data-Driven Application Systems (InfoSymbiotics/DDDAS 2020)},
   OPTEDITOR    = {},
   MONTH        = {October},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Data-Driven State Awareness for Fly-by-Feel Aerial 
      Vehicles via Adaptive Time Series and Gaussian Process Regression 
      Models},
   OPTVOLUME    = {},
   YEAR         = {2020},
   ABSTRACT     = {This work presents the investigation and critical 
      assessment, within the framework of Dynamic Data Driven Applications 
      Systems (DDDAS), of two probabilistic state awareness approaches for 
      fly-by-feel aerial vehicles based on (i) stochastic adaptive 
      time-dependent time series models and (ii) Bayesian learning via 
      homoscedastic and heteroscedastic Gaussian process regression models 
      (GPRMs). Stochastic time-dependent autoregressive (TAR) time series 
      models with adaptive parameters are estimated via a recursive maximum 
      likelihood (RML) scheme and used to represent the dynamic response of 
      a self-sensing composite wing under varying flight states. Bayesian 
      learning based on homoscedastic and heteroscedastic versions of GPRM 
      is assessed via the ability to represent the nonlinear mapping 
      between the flight state and the vibration signal energy of the wing. 
      The experimental assessment is based on a prototype self-sensing UAV 
      wing that is subjected to a series of wind tunnel experiments under 
      multiple flight states.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   OPTKEYWORDS  = {},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/DDDAS2020_Ahmed.pdf}
}

@INPROCEEDINGS{castellanos-icsa-2020,
   OPTADDRESS   = {},
   AUTHOR       = {Camilo Castellanos and Boris Pérez and Darìo Correal and 
      Carlos A Varela},
   BOOKTITLE    = {2020 IEEE International Conference on Software Architecture Companion (ICSA-C)},
   OPTEDITOR    = {},
   MONTH        = {November},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   ORGANIZATION = {IEEE},
   PAGES        = {89--94},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {A Model-Driven Architectural Design Method for Big Data 
      Analytics Applications},
   OPTVOLUME    = {},
   YEAR         = {2020},
   ABSTRACT     = {Big data analytics (BDA) applications use machine 
      learning to extract valuable insights from large, fast, and 
      heterogeneous data sources. The architectural design and evaluation 
      of BDA applications entail new challenges to integrate emerging 
      machine learning algorithms with cutting-edge practices whilst 
      ensuring performance levels even in the presence of large data 
      volume, velocity, and variety (3Vs). This paper presents a design 
      process approach based on the Attribute-Driven Design (ADD) method 
      and Architecture tradeoff analysis method (ATAM) to specify, deploy, 
      and monitor performance metrics in BDA applications supported by 
      domain-specific modeling and DevOps. Our design process starts with 
      the definition of architectural drivers, followed by functional and 
      deployment specification through integrated high-level modeling which 
      enables quality scenarios monitoring. We used two use cases from 
      avionics to evaluate this proposal, and the preliminary results 
      suggest advantages by integrating multiple views, automating 
      deployment and monitoring compared to similar approaches.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, distributed systems},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/ICSA_2020.pdf}
}

@INPROCEEDINGS{cruz-dddas-2020,
   ADDRESS      = {Cham},
   AUTHOR       = {Elkin Cruz-Camacho and Saswata Paul and 
      Fotis Kopsaftopoulos and Carlos A. Varela},
   BOOKTITLE    = {Dynamic Data Driven Application Systems},
   EDITOR       = {Frederica Darema and Erik Blasch and Sai Ravela and 
      Alex Aved},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {236--244},
   PUBLISHER    = {Springer International Publishing},
   OPTSERIES    = {},
   TITLE        = {Towards Provably Correct Probabilistic Flight Systems},
   OPTVOLUME    = {},
   YEAR         = {2020},
   ABSTRACT     = {Safety envelopes are meant to determine under which 
      conditions and state space regions a probabilistic property of a 
      data-driven system can be asserted with high confidence. Dynamic 
      data-driven applications systems (DDDAS) can make use of safety 
      envelopes to be cognizant of the formal warranties derived from their 
      models and assumptions. An example of safety envelopes is presented 
      as the intersection of two simpler concepts: 
      {\$}{\$}z{\$}{\$}-predictability and {\$}{\$}{\backslash}tau 
      {\$}{\$}-confidence; which correspond to state estimation and 
      classification, respectively. To illustrate safety envelopes, stall 
      detection from signal energy is shown with data gathered by 
      piezo-electric sensors in a composite wing inside a wind tunnel under 
      varying angles of attack and airspeed configuration. A formalization 
      of these safety envelopes is presented in the Agda proof assistant, 
      from which formally proven sentinel code can be generated.},
   OPTDOI       = {},
   ISBN         = {978-3-030-61725-7},
   OPTISSN      = {},
   KEYWORDS     = {formal verification, runtime verification},
   URL          = {http://wcl.cs.rpi.edu/papers/DDDAS2020_Cruz.pdf},
   OPTURL-PUBLISHER = {}
}

@INPROCEEDINGS{das-ieee-cloud-2020,
   ADDRESS      = {Beijing, China},
   AUTHOR       = {Anirban Das and Andrew Leaf and Carlos A. Varela and 
      Stacy Patterson},
   BOOKTITLE    = {IEEE International Conference on Cloud Computing},
   OPTEDITOR    = {},
   MONTH        = {October},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Skedulix: Hybrid Cloud Scheduling for Cost-Efficient 
      Execution of Serverless Applications},
   OPTVOLUME    = {},
   YEAR         = {2020},
   ABSTRACT     = {We present a framework for scheduling multifunction 
      serverless applications over a hybrid public-private cloud. A set of 
      serverless jobs is input as a batch, and the objective is to schedule 
      function executions over the hybrid platform to minimize the cost of 
      public cloud use, while completing all jobs by a specified deadline. 
      As this scheduling problem is NP-Hard, we propose a greedy algorithm 
      that dynamically determines both the order and placement of each 
      function execution using predictive models of function execution time 
      and network latencies. We present a prototype implementation of our 
      framework that uses AWS Lambda and OpenFaaS, for the public and 
      private cloud, respectively. We evaluate our prototype in live 
      experiments using a mixture of compute and I/O heavy serverless 
      applications. Our results show that our framework can achieve a 
      speedup in batch processing of up to 1.92 times that of an approach 
      that uses only the private cloud, at 40.5% the cost of an approach 
      that uses only the public cloud},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, serverless computing, middleware},
   URL          = {https://arxiv.org/abs/2006.03720},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/IEEE-cloud-2020_Das.pdf}
}

@INPROCEEDINGS{giancola-ethical-2020,
   ADDRESS      = {Taipei, Taiwan},
   AUTHOR       = {Michael Giancola and Selmer Bringsjord and 
      Naveen Sundar Govindarajulu and Carlos Varela},
   BOOKTITLE    = {International Conference on Robot Ethics and Standards (ICRES) 2020},
   OPTEDITOR    = {},
   MONTH        = {September},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Ethical Reasoning for Autonomous Agents Under 
      Uncertainty},
   OPTVOLUME    = {},
   YEAR         = {2020},
   ABSTRACT     = {Autonomous (and partially autonomous) agents are 
      beginning to play significant roles in safetycritical and 
      privacy-critical domains, such as driving and healthcare. When humans 
      operate in these spaces, not only are there regulations and laws 
      dictating proper behavior, but crucially, neurobiologically normal 
      humans can be expected to comprehend how to reason with certain 
      principles to ensure that their actions are 
      legally/ethically/prudentially correct (whether or not these humans 
      choose to abide by the principles in question). It seems reasonable 
      that we should hold autonomous agents to, minimally, the same 
      standard we hold humans to. In this paper, we present a framework for 
      autonomous aircraft piloting agents to reason about ethical problems 
      in the context of emergency landings. In particular, we are concerned 
      with ethical problems in which every option is equally unethical with 
      regard to the ethical principles the options violate; and the only 
      distinguishing factor is the likelihood that a plan will violate an 
      ethical principle. We conclude by discussing why, in general, we find 
      an inference-theoretic approach to ethical reasoning to be superior 
      to the model-theoretic approach of prior work.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   OPTKEYWORDS  = {},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/ICRES2020-giancola.pdf}
}

@INPROCEEDINGS{gurny-dasc-2020,
   OPTADDRESS   = {},
   AUTHOR       = {Sinclair Gurny and Jason Falvo and Carlos A. Varela},
   BOOKTITLE    = {The 39th AIAA/IEEE Digital Avionics Systems Conference (DASC 2020)},
   OPTEDITOR    = {},
   MONTH        = {October},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Aircraft Weight Estimation During Takeoff Using 
      Declarative Machine Learning},
   OPTVOLUME    = {},
   YEAR         = {2020},
   ABSTRACT     = {Aircraft sensors measure physical quantities to help 
      pilots and flight automation systems with situational awareness and 
      decision making. Unfortunately, some important quantities of interest 
      (QoI), e.g. aircraft weight, cannot be directly measured by sensors. 
      As a consequence, accidents can happen, exemplified by Tuninter 1153 
      and Cessna 172R N4207P, where the airplanes were underweight (not 
      enough fuel) and overweight (6% over maximum gross weight) 
      respectively. Learning models to infer QoI from other aircraft sensor 
      data is thus critical to safety through analytical redundancy. In 
      this paper, we extend PILOTS, our declarative programming language 
      for stream analytics, to learn models from data. We illustrate the 
      supervised machine learning extensions to PILOTS with an example 
      where we use take-off speed profiles under different density 
      altitudes and runway conditions to estimate aircraft weight. Using 
      data we collected from the XPlane flight simulator for a Cessna 
      172SP, we compare the results of several models on accuracy and 
      timeliness. We also consider ensemble learning to improve the 
      accuracy of weight estimation during takeoff from 94.3% (single 
      model) to 97% (multiple models). Given that the average length of a 
      take-off is 26.75s, this model was able to converge within 10% of the 
      correct weight after 10.7s and converge within 5% after 17.7s. On 
      August 25th, 2014, a Cessna 172R, N4207P, crashed killing the pilot 
      and three passengers. The National Transportation Safety Board (NTSB) 
      report calculated the aircraft to be 1.06 times the maximum gross 
      weight. We simulated the take-off in X-Plane using information from 
      the report. We were able to estimate within 5% error after 8s, which 
      is less than 200ft down the runway, and at the point of take-off, 
      27s, had an error of 3%. This means that our model could have alerted 
      the pilot of an overweight condition well before the aircraft became 
      airborne, leaving more than 2000ft of runway to come to a stop.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {cyber physical systems, avionics, machine learning, 
      dddas},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/DASC2020_gurny.pdf}
}

@INPROCEEDINGS{meng-dasc-2020,
   OPTADDRESS   = {},
   AUTHOR       = {Baoluo Meng and Abha Moitra and Andrew W. Crapo and 
      Saswata Paul and Kit Siu and Michael Durling and Daniel Prince and 
      Heber Herencia-Zapana},
   BOOKTITLE    = {The 39th AIAA/IEEE Digital Avionics Systems Conference (DASC 2020)},
   OPTEDITOR    = {},
   MONTH        = {October},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Towards Developing Formalized Assurance Cases},
   OPTVOLUME    = {},
   YEAR         = {2020},
   ABSTRACT     = {The ever-increasing complexity of cyber physical systems 
      drives the need for assurance of critical infrastructure and embedded 
      systems. Building assurance cases is a way to increase confidence in 
      systems. In general, the construction of assurance cases is a manual 
      process and the resulting artifacts are not machine analyzable. The 
      High Assurance Systems team at GE Research is developing technology 
      to support generation of formalized assurance cases for systems, 
      which are both humanreadable and machine-analyzable. We have 
      developed a Semantic Application Design Language Assurance Toolkit 
      (SADL-AT) including a semantic model to formalize the Goal 
      Structuring Notation for assurance cases. This paper describes the 
      toolkit SADL-AT and demonstrates the capabilities and effectiveness 
      of SADL-AT by building security and safety assurance case fragments 
      for an unmanned aerial vehicle-based example â a delivery drone.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {cyber security, formal verification, assurance case},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/DASC2020_meng.pdf}
}

@INPROCEEDINGS{paul-dddas-2020,
   ADDRESS      = {Cham},
   AUTHOR       = {Saswata Paul and Fotis Kopsaftopoulos and 
      Stacy Patterson and Carlos A. Varela},
   BOOKTITLE    = {Dynamic Data Driven Application Systems},
   EDITOR       = {Frederica Darema and Erik Blasch and Sai Ravela and 
      Alex Aved},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {245--252},
   PUBLISHER    = {Springer International Publishing},
   OPTSERIES    = {},
   TITLE        = {Dynamic Data-Driven Formal Progress Envelopes for 
      Distributed Algorithms},
   OPTVOLUME    = {},
   YEAR         = {2020},
   ABSTRACT     = {This work presents formal progress envelopes applied to 
      flight systems for distinctly classifying a system's state space into 
      regions where a formal proof of progress for a distributed algorithm 
      holds or does not hold. It also presents an approach for runtime 
      integration of formal methods in the dynamic data-driven applications 
      systems (DDDAS) architecture using parameterized proofs. Finally, it 
      showcases the development of reusable parameterized proof libraries 
      for high-level statistical and stochastic reasoning in the Athena 
      proof assistant and demonstrates their use with a progress proof for 
      the Paxos distributed consensus protocol.},
   OPTDOI       = {},
   ISBN         = {978-3-030-61725-7},
   OPTISSN      = {},
   KEYWORDS     = {dddas, formal verification, Athena, distributed systems, 
      distributed computing, air traffic management, 
      cyber physical systems, runtime verification},
   URL          = {http://wcl.cs.rpi.edu/papers/DDDAS2020_paul.pdf},
   OPTURL-PUBLISHER = {}
}

@INPROCEEDINGS{paul-dasc-2020,
   OPTADDRESS   = {},
   AUTHOR       = {Saswata Paul and Stacy Patterson and Carlos A. Varela},
   BOOKTITLE    = {The 39th AIAA/IEEE Digital Avionics Systems Conference (DASC 2020)},
   OPTEDITOR    = {},
   MONTH        = {October},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Collaborative Situational Awareness for Conflict-Aware 
      Flight Planning},
   OPTVOLUME    = {},
   YEAR         = {2020},
   ABSTRACT     = {In autonomous air-traffic management scenarios of the 
      future, manned and unmanned aircraft will be able to safely navigate 
      through the National Airspace System, independent of centralized 
      air-traffic controllers, by sharing critical data necessary for 
      maintaining standard separation with each other. Under such 
      conditions, every aircraft must have sufficient knowledge about other 
      aircraft sharing the airspace to operate safely. In this paper, we 
      specify such a state of knowledge and present a formally verified 
      distributed knowledge propagation protocol, which guarantees that 
      this state will eventually be attained, leading to heightened 
      collaborative situational awareness among the aircraft. We use the 
      TLA$^+$ Specification Language to specify our protocol and some 
      safety-critical correctness properties. We also provide 
      mechanically-verified proofs of the correctness properties, under a 
      set of suitable operating conditions of the system, by using the TLA+ 
      Proof System.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {cyber physical systems, formal verification, TLA, 
      distributed systems, distributed computing, air traffic management, 
      knowledge},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/DASC2020_paul.pdf}
}

@MASTERSTHESIS{gurny-msthesis-2020,
   OPTADDRESS   = {},
   AUTHOR       = {Sinclair Gurny},
   MONTH        = {May},
   OPTNOTE      = {},
   SCHOOL       = {Rensselaer Polytechnic Institute},
   TITLE        = {Learning Models from Avionics Data Streams},
   OPTTYPE      = {},
   YEAR         = {2020},
   ABSTRACT     = {In aviation, there are many values that are useful for 
      pilots to know that cannot be measured from sensors and require 
      calculation using various charts or other means to accurately 
      estimate. Aircraft take-off distance requires knowing wind speed, 
      pressure altitude, and temperature. However, it is possible for the 
      inputs of these calculations to change during flight, or be 
      calculated incorrectly by mistake, and it would be useful for pilots 
      to know these values in real-time. PILOTS is a programming language 
      for spatio-temporal data stream processing. We have added improved 
      integration for machine learning algorithms as well as a linguistic 
      abstraction for training these models. In data-driven systems, it can 
      be useful to use distributed processes for computation. We have 
      designed a declarative framework for federated learning and the 
      aggregation of results from multiple related models within PILOTS. 
      Furthermore, we built a model using PILOTS that is able to estimate 
      weight in real-time during take-off of a fixed-wing aircraft using 
      data available from the avionics. We evaluated the results of several 
      models on accuracy and timeliness. Data was collected from the flight 
      simulator X-Plane. Accidents such as the fatal crash of Cessna 172R 
      N4207P could have been prevented using the weight estimation methods 
      illustrated.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {cyber physical systems, avionics, machine learning, 
      dddas},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/gurny_ms.pdf}
}

@PHDTHESIS{gomez-phd-2019,
   OPTADDRESS   = {},
   AUTHOR       = {Carlos Gomez},
   OPTMONTH     = {},
   OPTNOTE      = {},
   SCHOOL       = {Universidad de los Andes},
   TITLE        = {Reliability in Desktop Cloud Systems},
   OPTTYPE      = {},
   YEAR         = {2019},
   ABSTRACT     = {Desktop cloud is an opportunistic platform that provides 
      cloud computing services on desktop computers, typically located on a 
      university or business campus. The desktop cloud systems take 
      advantage of the idle resources of computers when their users perform 
      routine activities, or when computers are fully available. A desktop 
      cloud manages these resources to run virtual machines, with their 
      operating systems and applications, without affecting the performance 
      perceived by the users of the computers. Virtual machines allow users 
      of a desktop cloud, typically researchers, to execute their academic 
      or scientific applications at the same time as the processes of the 
      users of desktop computers. Since the infrastructure of a desktop 
      cloud is based on non-dedicated computers, these systems are more 
      susceptible to fail, compared to traditional cloud computing 
      providers. These platforms must face the interruptions and 
      interference caused by the users of desktop computers and their 
      applications. For example, the users of the computers can turn them 
      off or restart them, disconnect them from the network, or execute 
      demanding applications in computational capacity affecting the normal 
      execution of virtual machines. Desktop clouds have been used 
      successfully in the execution of bag-of-tasks type applications, 
      where a problem is solved by dividing it into independent tasks that 
      run in parallel. In this type of applications, since the applications 
      that run are independent, any of them can be executed on another 
      physical machine, if a node on the platform fails. Other 
      applications, with processes that communicate with each other, for 
      example applications based on Message Passing Interface (MPI), are 
      more fragile when facing failures, since a failure in one node can 
      affect the entire system. There are several implementations of 
      desktop clouds or similar systems, such as CernVM, cuCloud, ad hoc 
      cloud computing, GBAC and UnaCloud, our case study. These systems 
      take advantage of idle resources of the participating computers for 
      the execution of virtual machines. Due to the opportunistic access to 
      resources, in general, desktop cloud systems are platforms that offer 
      a best effort delivery service, in which there are no guarantees 
      about the successful execution of the applications that are executed 
      in the virtual machines. However, these platforms can move towards 
      reliable service delivery despite the volatility of the computational 
      resources on which it is supported. In this way, new applications can 
      be executed and some guarantee in the service can be offered to its 
      users. In this doctoral thesis we have made and refined a fault 
      analysis, considering different desktop cloud and similar systems, 
      emphasizing UnaCloud. As a result of this analysis, we found that 
      desktop cloud systems present failures mainly in two moments: during 
      the provisioning and during the execution of virtual machines. We 
      have proposed an extended chain of threats and we have used it in the 
      identification of the main faults that occur in these two phases to 
      determine their causes (anomalies, interruptions and errors) and 
      their consequences. In addition, we suggest some mitigation 
      strategies to counteract anomalies and interruptions. We have 
      compiled an initial set of strategies that allow us to mitigate the 
      effects of the identified failures, we developed a functional 
      prototype to respond to those failures using those strategies that 
      have the greatest impact in our context and we evaluate their 
      behavior. Thanks to this analysis, we found that the provisioning of 
      virtual machines has significant limitations in scalability. Virtual 
      images are large files whose transmission through the network is 
      delayed and prone to failures. In addition, reliability problems 
      begin when the number of virtual machines that are going to run on 
      the system begins to grow, particularly because of the space they 
      occupy on disk, the use of the network and the time it takes for 
      provisioning. On the other hand, the actions carried out by the users 
      of the computers, or the applications that they launch, can interrupt 
      the execution of the virtual machines running in the desktop cloud 
      and ruin the work done up to that moment. We have proposed a solution 
      to mitigate the effects of failures in both the provisioning and the 
      execution of virtual machines. First, implementation of a new virtual 
      machine provisioning model for a desktop cloud based on a catalog of 
      preconfigured virtual images, stored in multitasking writing disks 
      and previously stored in the computers where the virtual machines 
      run. Second, we have developed a global snapshot solution to store 
      the state of a distributed system that runs in the virtual machines 
      of a desktop cloud. Our implementation allows us to obtain multiple 
      global snapshots and a mechanism to resume execution consistently 
      from any of them, without missing or duplicated messages. We have 
      validated the software developed through functional and performance 
      tests and verified that the proposed solutions can be used to improve 
      the reliability of a desktop cloud system.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {cloud computing, distributed systems, desktop clouds},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/gomez_phd.pdf}
}

@ARTICLE{shelton-apj-2019,
   AUTHOR       = {S. Shelton and H. Newberg and J. Weiss and J. Bauer and 
      M. Arsenault and L. Widrow and C. Rayment and R. Judd and T. Desell and 
      M. Magdon-Ismail and M. Newby and C. Rice and B. Szymanski and 
      J. Thompson and C. Varela and B. Willett and S. Ulin and L. Newberg},
   BOOKTITLE    = {The Astrophysical Journal},
   JOURNAL      = {},
   OPTMONTH     = {},
   NOTE         = {Accepted May 2019, to appear},
   OPTNUMBER    = {},
   PAGES        = {26},
   TITLE        = {An Algorithm for Reconstructing the Orphan Stream 
      Progenitor with MilkyWay@home Volunteer Computing},
   OPTVOLUME    = {},
   YEAR         = {2019},
   ABSTRACT     = {We have developed a method for estimating the properties 
      of the progenitor dwarf galaxy from the tidal stream of stars that 
      were ripped from it as it fell into the Milky Way. In particular, we 
      show that the mass and radial profile of a progenitor dwarf galaxy 
      evolved along the orbit of the Orphan Stream, including the stellar 
      and dark matter components, can be reconstructed from the 
      distribution of stars in the tidal stream it produced. We use 
      MilkyWay@home, a PetaFLOPS-scale distributed supercomputer, to 
      optimize our dwarf galaxy parameters until we arrive at best-fit 
      parameters. The algorithm fits the dark matter mass, dark matter 
      radius, stellar mass, radial profile of stars, and orbital time. The 
      parameters are recovered even though the dark matter component 
      extends well past the half light radius of the dwarf galaxy 
      progenitor, proving that we are able to extract information about the 
      dark matter halos of dwarf galaxies from the tidal debris. Our 
      simulations assumed that the Milky Way potential, dwarf galaxy orbit, 
      and the form of the density model for the dwarf galaxy were known 
      exactly; more work is required to evaluate the sources of systematic 
      error in fitting real data. This method can be used to estimate the 
      dark matter content in dwarf galaxies without the assumption of 
      virial equilibrium that is required to estimate the mass using 
      line-of-sight velocities. This demonstration is a first step towards 
      building an infrastructure that will fit the Milky Way potential 
      using multiple tidal streams.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed systems, cloud computing},
   URL          = {http://wcl.cs.rpi.edu/papers/Nbody_ApJ_19.pdf},
   OPTURL-PUBLISHER = {}
}

@INPROCEEDINGS{blasch-spie-2019,
   ADDRESS      = {Baltimore, MD},
   AUTHOR       = {E. Blasch and J. D. Ashdown and C. A. Varela and 
      F. Kopsaftopoulos and R. H. Newkirk},
   BOOKTITLE    = {Next-Generation Sensor Systems and Applications Track at 2019 SPIE Defense + Commercial Sensing Conference},
   OPTEDITOR    = {},
   MONTH        = {April},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Dynamic Data Driven Analytics for Multi-domain 
      Environments},
   OPTVOLUME    = {},
   YEAR         = {2019},
   ABSTRACT     = {Recent trends in artificial intelligence and machine 
      learning (AI/ML), dynamic data driven application systems (DDDAS), 
      and cloud computing provide opportunities for enhancing multidomain 
      systems performance. The DDDAS framework utilizes models, 
      measurements, and computation to enhance real-time sensing, 
      performance, and analysis. One example the represents a multi-domain 
      scenario is âfly-by-feelâ avionics systems that can support 
      autonomous operations. A "fly-by-feel" system measures the 
      aerodynamic forces (wind, pressure, temperature) for physics-based 
      adaptive flight control to increase maneuverability, safety and fuel 
      efficiency. This paper presents a multidomain approach that 
      identifies safe flight operation platform position needs from which 
      models, data, and information are invoked for effective multidomain 
      control. Concepts are presented to demonstrate the DDDAS approach for 
      enhanced multi-domain coordination bringing together modeling (data 
      at rest), control (data in motion) and command (data in use).},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {data streaming, dddas, cyber physical systems},
   URL          = {http://wcl.cs.rpi.edu/papers/SPIE19_Multidomain.pdf},
   OPTURL-PUBLISHER = {}
}

@INPROCEEDINGS{breese-iwshm-2019_,
   ADDRESS      = {Stanford, CA},
   AUTHOR       = {S. Breese and F. Kopsaftopoulos and C. A. Varela},
   BOOKTITLE    = {The 12th International Workshop on Structural Health Monitoring},
   OPTEDITOR    = {},
   MONTH        = {September},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Towards Proving Runtime Properties of Data-Driven 
      Systems Using Safety Envelopes},
   OPTVOLUME    = {},
   YEAR         = {2019},
   ABSTRACT     = {Dynamic data-driven application systems (DDDAS) allow 
      for unprecedented self-healing and self-diagnostic behavior across a 
      broad swathe of domains. The usefulness of these systems is offset 
      against their inherent complexity, and therefore fragility to 
      specification or implementation error. Further, DDDAS techniques are 
      often applied in safety-critical domains, where correctness is 
      paramount. Formal methods facilitate the development of correctness 
      proofs about software systems, which provide stronger behavioral 
      guarantees than non-exhaustive unit tests. While unit testing can 
      validate that a system behaves correctly in some finite number of 
      configurations, formal methods enable us to prove correctness in an 
      infinite subset of the configuration space, which is often needed in 
      cyber-physical systems involving continuous mechanics. Although the 
      efficacy of formal methods is traditionally offset by significantly 
      greater development cost, we propose new development techniques that 
      can mitigate this concern. In this paper, we explore novel techniques 
      for assuring the correctness of data-driven systems based on 
      certified programming and software verification. In particular, we 
      focus on the use of interactive theorem-proving systems to prove 
      foundational properties about data-driven systems, possibly reliant 
      upon physics-based assumptions and models. We introduce the concept 
      of the formal safety envelope, analogous to the concept of an 
      aircraftâs performance envelope, which organizes system properties 
      in a way that makes it clear which properties hold under which 
      assumptions. Beyond maintaining modularity in proof development, this 
      technique furthermore enables the derivation of runtime monitors to 
      detect potentially unsafe system state changes, allowing the user to 
      know precisely which properties have been verified to hold for the 
      current system state. Using this method, we demonstrate the partial 
      verification of an archetypal data-driven system from avionics, where 
      wing sensor data is used to determine whether or not an airplane is 
      likely to be in a stall state.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {cyber physical systems, dddas, formal verification},
   URL          = {http://wcl.cs.rpi.edu/papers/IWSHM19_brees.pdf},
   OPTURL-PUBLISHER = {}
}

@INPROCEEDINGS{castellanos-bdasurvey-2019,
   ADDRESS      = {Cham},
   AUTHOR       = {Camilo Castellanos and Boris Perez and Carlos A. Varela and 
      Maria del Pilar Villamil and Dario Correal},
   BOOKTITLE    = {Software Architecture},
   OPTEDITOR    = {},
   MONTH        = {September},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {195--210},
   PUBLISHER    = {Springer International Publishing},
   OPTSERIES    = {},
   TITLE        = {A Survey on Big Data Analytics Solutions Deployment},
   OPTVOLUME    = {},
   YEAR         = {2019},
   ABSTRACT     = {There are widespread and increasing interest in big data 
      analytics (BDA) solutions to enable data collection, transformation, 
      and predictive analyses. The development and operation of BDA 
      application involve business innovation, advanced analytics and 
      cutting-edge technologies which add new complexities to the 
      traditional software development. Although there is a growing 
      interest in BDA adoption, successful deployments are still scarce 
      (a.k.a., the ``Deployment Gap'' phenomenon). This paper reports an 
      empirical study on BDA deployment practices, techniques and tools in 
      the industry from both the software architecture and data science 
      perspectives to understand research challenges that emerge in this 
      context. Our results suggest new research directions to be tackled by 
      the software architecture community. In particular, competing 
      architectural drivers, interoperability, and deployment procedures in 
      the BDA field are still immature or have not been adopted in 
      practice.},
   OPTDOI       = {},
   ISBN         = {978-3-030-29983-5},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, distributed systems},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/BDA_survey_2019.pdf}
}

@INPROCEEDINGS{castellanos-icsa-2019,
   OPTADDRESS   = {},
   AUTHOR       = {Camilo Castellanos and Carlos A. Varela and 
      Dario Correal},
   BOOKTITLE    = {ECSA 2019 - International Workshop on Software Architecture Challenges in Big Data (SACBD)},
   OPTEDITOR    = {},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Measuring Performance Quality Scenarios in Big Data 
      Analytics Applications: A DevOps and Domain-Specific Model Approach},
   OPTVOLUME    = {},
   YEAR         = {2019},
   ABSTRACT     = {Big data analytics (BDA) applications use advanced 
      analysis algorithms to extract valuable insights from large, fast, 
      and heterogeneous data sources. These complex BDA applications 
      require software design, development, and deployment strategies to 
      deal with volume, velocity, and variety (3vs) while sustaining 
      expected performance levels. BDA software complexity frequently leads 
      to delayed deployments, longer development cycles and challenging 
      performance monitoring. This paper proposes a DevOps and Domain 
      Specific Model (DSM) approach to design, deploy, and monitor 
      performance Quality Scenarios (QS) in BDA applications. This approach 
      uses high-level abstractions to describe deployment strategies and QS 
      enabling performance monitoring. Our experimentation compares the 
      effort of development, deployment and QS monitoring of BDA 
      applications with two use cases of near mid-air collisions (NMAC) 
      detection. The use cases include different performance QS, processing 
      models, and deployment strategies. Our results show shorter 
      (re)deployment cycles and the fulfillment of latency and deadline QS 
      for micro-batch and batch processing.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, distributed systems},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/BDA_2019.pdf}
}

@INPROCEEDINGS{imai-dasc-2019,
   ADDRESS      = {San Diego, CA},
   AUTHOR       = {Shigeru Imai and Frederick Hole and Carlos A. Varela},
   BOOKTITLE    = {The 38th AIAA/IEEE Digital Avionics Systems Conference (DASC 2019)},
   OPTEDITOR    = {},
   MONTH        = {September},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Self-Healing Data Streams Using Multiple Models of 
      Analytical Redundancy},
   OPTVOLUME    = {},
   YEAR         = {2019},
   ABSTRACT     = {We have created a highly declarative programming 
      language called PILOTS that enables error detection and estimation of 
      correct data streams based on analytical redundancy (i.e., algebraic 
      relationship between data streams). Data scientists are able to 
      express their analytical redundancy models with the domain specific 
      grammar of PILOTS and test their models with erroneous data streams. 
      PILOTS has the ability to express a single analytical redundancy, and 
      it has been successfully applied to data from aircraft accidents such 
      as Air France flight 447 and Tuninter flight 1153 where only one 
      simultaneous sensor type failure was observed. In this work, we 
      extend PILOTS to support multiple models of analytical redundancy and 
      improve situational awareness for multiple simultaneous sensor type 
      failures. Motivated by the two recent accidents involving the Boeing 
      737 Max 8, which was potentially caused by a faulty angle of attack 
      sensor, we focus on recovering angle of attack data streams under 
      multiple sensor type failure scenarios. The simulation results show 
      that multiple models of analytical redundancy enable us to detect 
      failure modes that are not detectable with a single model.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {pilots, data streaming, dddas, cyber physical systems},
   URL          = {http://wcl.cs.rpi.edu/papers/DASC2019_imai.pdf},
   OPTURL-PUBLISHER = {}
}

@INPROCEEDINGS{newberg-streams-2019,
   OPTADDRESS   = {},
   AUTHOR       = {Heidi Jo Newberg and Siddhartha Shelton and 
      Eric Mendelsohn and Jake Weiss and Matthew Arsenault and 
      Jacob S. Bauer and Travis Desell and Roland Judd and 
      Malik Magdon-Ismail and Lee A. Newberg and Matthew Newby and 
      Clayton Rayment and Colin Rice and Boleslaw K. Szymanski and 
      Jeffery M. Thompson and Steve Ulin and Carlos Varela and 
      Lawrence M. Widrow and Benjamin A. Willett},
   BOOKTITLE    = {},
   OPTEDITOR    = {},
   JOURNAL      = {Proceedings of the International Astronomical Union},
   MONTH        = {June},
   NOTE         = {Publisher: Cambridge University Press},
   NUMBER       = {S353},
   OPTORGANIZATION = {},
   PAGES        = {75--82},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Streams and the Milky Way dark matter halo},
   VOLUME       = {14},
   YEAR         = {2019},
   ABSTRACT     = {We describe an algorithm that can fit the properties of 
      the dwarf galaxy progenitor of a tidal stream, given the properties 
      of that stream. We show that under ideal conditions (the Milky Way 
      potential, the orbit of the dwarf galaxy progenitor, and the 
      functional form of the dwarf galaxy progenitor are known exactly), 
      the density and angular width of stars along the stream can be used 
      to constrain the mass and radial profile of both the stellar and dark 
      matter components of the progenitor dwarf galaxy that was ripped 
      apart to create the stream. Our provisional fit for the parameters of 
      the dwarf galaxy progenitor of the Orphan Stream indicates that it is 
      less massive and has fewer stars than previous works have indicated.},
   DOI          = {10.1017/S174392131900855X},
   OPTISBN      = {},
   ISSN         = {1743-9213, 1743-9221},
   KEYWORDS     = {cosmology: dark matter, Galaxy: halo, 
      methods: n-body simulations},
   URL          = {http://wcl.cs.rpi.edu/papers/IAU-2019.pdf},
   OPTURL-PUBLISHER = {}
}

@INPROCEEDINGS{paul-dasc-2019,
   ADDRESS      = {San Diego, CA},
   AUTHOR       = {Saswata Paul and Stacy Patterson and Carlos A. Varela},
   BOOKTITLE    = {The 38th AIAA/IEEE Digital Avionics Systems Conference (DASC 2019)},
   OPTEDITOR    = {},
   MONTH        = {September},
   NOTE         = {Nominated for best student paper award},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Conflict-Aware Flight Planning for Avoiding Near Mid-Air 
      Collisions},
   OPTVOLUME    = {},
   YEAR         = {2019},
   ABSTRACT     = {We present a novel conflict-aware flight planning 
      approach that avoids the possibility of near mid-air collisions 
      (NMACs) in the flight planning stage. Our algorithm computes a valid 
      flight-plan for an aircraft (ownship) based on a starting time, a set 
      of discrete way-points in 3D space, discrete values of ground speed, 
      and a set of available flight-plans for traffic aircraft. A valid 
      solution is one that avoids loss of standard separation with 
      available traffic flight-plans. Solutions are restricted to 
      permutations of constant ground speed and constant vertical speed for 
      the ownship between consecutive waypoints. Since the course between 
      two consecutive way-points is not changed, this strategy can be used 
      in situations where vertical or lateral constraints due to terrain or 
      weather may restrict deviations from the original flight-plan. This 
      makes our approach particularly suitable for unmanned aerial systems 
      (UAS) integration into urban air traffic management airspace. Our 
      approach has been formally verified using the Athena proof assistant. 
      Our work, therefore, complements the state-of-the-art pairwise 
      tactical conflict resolution approaches by enabling an ownship to 
      generate strategic flight-plans that ensure standard separation with 
      multiple traffic aircraft, while conforming to possible restrictions 
      on deviation from its flight path.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {cyber physical systems, athena, air traffic management, 
      formal verification},
   URL          = {http://wcl.cs.rpi.edu/papers/DASC2019_paul.pdf},
   OPTURL-PUBLISHER = {}
}

@MISC{varela-conversation-2019,
   AUTHOR       = {Carlos A. Varela},
   BOOKTITLE    = {www.theconversation.com},
   OPTHOWPUBLISHED = {},
   MONTH        = {April},
   NOTE         = {Article published in TheConversation.com},
   TITLE        = {Too many airplane systems rely on too few sensors},
   YEAR         = {2019},
   OPTABSTRACT  = {},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {cyber physical systems, dddas},
   URL          = {http://theconversation.com/too-many-airplane-systems-rely-on-too-few-sensors-114394},
   OPTURL-PUBLISHER = {}
}

@PHDTHESIS{imai-phd-2018,
   OPTADDRESS   = {},
   AUTHOR       = {Shigeru Imai},
   OPTMONTH     = {},
   OPTNOTE      = {},
   SCHOOL       = {Rensselaer Polytechnic Institute},
   TITLE        = {Elastic Cloud Computing for QoS-Aware Data Processing},
   OPTTYPE      = {},
   YEAR         = {2018},
   ABSTRACT     = {Infrastructure-as-a-Service (IaaS) clouds such as Amazon 
      EC2 offer various types of virtual machines (VMs) through pay-per-use 
      pricing. Elastic resource allocation allows us to allocate and 
      release VMs as computing demand changes while satisfying 
      Quality-of-Service (QoS) requirements. In this thesis, we explore 
      QoS-aware elastic resource allocation for three different data 
      processing models: batch, micro-batch, and streaming. First, we 
      present two frameworks for elastic batch data processing. The first 
      elastic batch data processing framework supports autonomous VM 
      scaling using application-level migration. It does not require any 
      prior knowledge about the target application, but dynamically 
      reconfigures the application to keep the CPU utilization within a 
      certain range. The second framework uses Workload-tailored Elastic 
      Compute Units as a measure of computing resources analogous to Amazon 
      EC2âs ECUs. Given a deadline, our framework finds the cost-optimal 
      resource configuration of heterogeneous VMs to satisfy the required 
      throughput. Next, we propose an elastic micro-batch data processing 
      framework for continuous air traffic optimization. Air traffic 
      optimization is commonly formulated as an integer linear programming 
      (ILP) problem. For continuous optimization, we periodically solve ILP 
      problems with regular intervals, where each problem is a micro-batch 
      data processing job. Since the fluctuating number of flights creates 
      dynamically changing computational demand, our framework predicts 
      future workload and proactively schedules VMs to solve the ILP 
      problems in a timely manner. Finally, we propose a framework for 
      sustainable elastic stream processing based on the concept of Maximum 
      Sustainable Throughput (MST). It is the maximum processing throughput 
      a streaming application can process indefinitely for a number of VMs. 
      Stream processing is sustainable if the systemâs MST is always 
      greater than the input data rates of incoming workload. Using MST and 
      future workload prediction models, our framework proactively 
      schedules VMs to keep the stream processing sustainable. It 
      explicitly incorporates uncertainties in both MST and workload 
      prediction models, and estimates the number of VMs to satisfy a 
      certain probability criteria. Our studies show that QoS-aware elastic 
      data processing is effective for these processing models in both 
      performance scalability and cost savings. For batch processing, 
      elastic resource scheduling helps achieve the target QoS metrics such 
      as CPU utilization and job completion time. For both micro-batch and 
      stream processing with fluctuating workloads, QoS-aware elastic 
      scheduling saves up to 49% cost compared to a static scheduling that 
      covers the peak workload to achieve a similar level of throughput QoS 
      satisfaction. These results show potential for future fully automated 
      cloud computing resource management systems that efficiently enable 
      truly elastic and scalable general-purpose workload.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, cloud computing, 
      cyber physical systems, data streaming},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/imai-phd.pdf}
}

@ARTICLE{buyya-varela-acm2018,
   ADDRESS      = {New York, USA},
   AUTHOR       = {Rajkumar Buyya and Satish Narayana Srirama and 
      Giuliano Casale and Rodrigo Calheiros and Yogesh Simmhan and 
      Blesson Varghese and Erol Gelenbe and Bahman Javadi and 
      Luis Miguel Vaquero and Marco A. S. Netto and Adel Nadjaran Toosi and 
      Maria Alejandra Rodriguez and Ignacio M. Llorente and 
      di Vimercati, Sabrina De Capitani and Pierangela Samarati and 
      Dejan Milojicic and Carlos Varela and Rami Bahsoon and 
      de Assuncao, Marcos Dias and Omer Rana and Wanlei Zhou and Hai Jin and 
      Wolfgang Gentzsch and Albert Zomaya and Haiying Shen},
   JOURNAL      = {ACM Computing Surveys},
   MONTH        = {November},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   PAGES        = {1 -- 38},
   PUBLISHER    = {ACM Press},
   TITLE        = {A Manifesto for Future Generation Cloud Computing: 
      Research Directions for the Next Decade},
   VOLUME       = {51},
   YEAR         = {2018},
   ABSTRACT     = {The Cloud computing paradigm has revolutionised the 
      computer science horizon during the past decade and has enabled the 
      emergence of computing as the fifth utility. It has captured 
      significant attention of academia, industries, and government bodies. 
      Now, it has emerged as the backbone of modern economy by offering 
      subscription-based services anytime, anywhere following a 
      pay-as-you-go model. This has instigated (1) shorter establishment 
      times for start-ups, (2) creation of scalable global enterprise 
      applications, (3) better cost-to-value associativity for scientific 
      and high-performance computing applications, and (4) different 
      invocation/execution models for pervasive and ubiquitous 
      applications. The recent technological developments and paradigms 
      such as serverless computing, software-defined networking, Internet 
      of Things, and processing at network edge are creating new 
      opportunities for Cloud computing. However, they are also posing 
      several new challenges and creating the need for new approaches and 
      research strategies, as well as the re-evaluation of the models that 
      were developed to address issues such as scalability, elasticity, 
      reliability, security, sustainability, and application models. The 
      proposed manifesto addresses them by identifying the major open 
      challenges in Cloud computing, emerging trends, and impact areas. It 
      then offers research directions for the next decade, thus helping in 
      the realisation of Future Generation Cloud Computing.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, concurrent programming},
   URL          = {http://www.buyya.com/papers/CloudManifesto.pdf},
   OPTURL-PUBLISHER = {}
}

@INPROCEEDINGS{imai-patterson-varela-ccgrid-2018,
   ADDRESS      = {Washington, DC},
   AUTHOR       = {Shigeru Imai and Stacy Patterson and Carlos A. Varela},
   BOOKTITLE    = {18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2018)},
   OPTEDITOR    = {},
   MONTH        = {May},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Uncertainty-Aware Elastic Virtual Machine Scheduling for 
      Stream Processing Systems},
   OPTVOLUME    = {},
   YEAR         = {2018},
   ABSTRACT     = {Stream processing systems deployed on the cloud need to 
      be elastic to effectively accommodate workload variations over time. 
      Performance models can predict maximum sustainable throughput (MST) 
      as a function of the number of VMs allocated. We present a scheduling 
      framework that incorporates three statistical techniques to improve 
      Quality of Service (QoS) of cloud stream processing systems: (i) 
      uncertainty quantification to consider variance in the MST model; 
      (ii) online learning to update MST model as new performance metrics 
      are gathered; and (iii) workload models to predict input data stream 
      rates assuming regular patterns occur over time. Our framework can be 
      parameterized by a QoS satisfaction target that statistically finds 
      the best performance/cost tradeoff. Our results illustrate that each 
      of the three techniques alone significantly improves QoS, from 52% to 
      73-81% QoS satisfaction rates on average for eight benchmark 
      applications. Furthermore, applying all three techniques allows us to 
      reach 98.62% QoS satisfaction rate with a cost less than twice the 
      cost of the optimal (in hindsight) VM allocations, and half of the 
      cost of allocating VMs for the peak demand in the workload.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, cloud computing, 
      stream processing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/ccgrid2018.pdf}
}

@INPROCEEDINGS{imai-varela-patterson-m2fc-2018,
   ADDRESS      = {Zurich, Switzerland},
   AUTHOR       = {Shigeru Imai and Carlos A. Varela and Stacy Patterson},
   BOOKTITLE    = {1st managed Fog-to-Cloud (mF2C) Workshop},
   OPTEDITOR    = {},
   MONTH        = {December},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {A Performance Study of Geo-Distributed IoT Data 
      Aggregation for Fog Computing},
   OPTVOLUME    = {},
   YEAR         = {2018},
   ABSTRACT     = {We investigate MapReduce-based data aggregation for 
      Internet-of-Things data in a multi-tier, geo-distributed datacenter 
      architecture. Specifically, we consider 1) end-to-end hierarchical 
      data aggregation and 2) query response for aggregated data requests 
      made by geo-distributed clients. We first develop a realistic 
      performance model based on previous empirical studies. We then study 
      application performance for various deployment architectures, ranging 
      from a purely cloud-based approach to a geo-distributed architecture 
      that combines cloud, fog, and edge resources. From simulations 
      created based on U.S. Census data, we characterize the trade-off 
      between end-to-end data aggregation time and query response time. Our 
      experiments show that for data aggregation, a purely-cloud based 
      deployment is 53% faster than a deployment with edge resources; 
      however, for query response, the edge approach is 46% faster due to 
      the edge resource proximity to query clients.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, cloud computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/mf2c2018.pdf}
}

@INPROCEEDINGS{paul-dasc-2018,
   ADDRESS      = {London, England},
   AUTHOR       = {Saswata Paul and Frederick Hole and Alexandra Zytek and 
      Carlos A. Varela},
   BOOKTITLE    = {The 37th AIAA/IEEE Digital Avionics Systems Conference (DASC 2018)},
   OPTEDITOR    = {},
   MONTH        = {September},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {558--567},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Wind-Aware Trajectory Planning For Fixed-Wing Aircraft 
      in Loss of Thrust Emergencies},
   OPTVOLUME    = {},
   YEAR         = {2018},
   ABSTRACT     = {Loss of thrust (LOT) emergencies create the need for 
      quickly providing pilots with valid trajectories for safely landing 
      the aircraft. It is easy to pre-compute total lost of thrust 
      trajectories for every possible initial point in a 3D flight plan, 
      but it is impossible to predict variables like the availability of 
      partial power, wing surface damage, and wind aloft in advance. 
      Availability of partial power can affect the glide ratio of an 
      aircraft while the presence of wind can significantly affect the 
      trajectory of a gliding aircraft with respect to the ground, e.g. - a 
      tailwind or a headwind can aid or hinder straight line glide by 
      increasing or decreasing the ground speed. Wind can also change the 
      shape of turns from circular to trochoidal, moving an aircraft away 
      from its intended position. In this paper, we present a robust 
      trajectory generation system that can take these dynamic factors into 
      consideration. Our approach outputs valid trajectories to a target 
      runway in the presence of constant, horizontal wind, by using purely 
      geometric criteria for computing flyable trajectories. We model the 
      effect of wind on different components of a possible trajectory by 
      taking into account the observed glide ratio of the aircraft 
      (computed from actual flight performance data) and the horizontal 
      wind vector. We also take into account the effect of wind on 
      ground-speed, the effective glide ratio with respect to the ground, 
      and the shape of turns to calculate trajectories to a virtual point 
      in 3D space which can lead an aircraft to an actual target runway. We 
      introduce an analytical approach for calculating the virtual point 
      for trajectories with left-straight-left or right-straight-right 
      Dubins path segments and a heuristic iterative approach for other 
      cases. Our approach generates trajectories that can lead an aircraft 
      from an initial configuration (latitude, longitude, altitude, 
      heading) to a target configuration in the presence of a constant 
      horizontal wind. In our experiments, the computation time for 
      trajectories ranged from 40 milliseconds to 60 milliseconds.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {dddas, data streaming, cyber physical systems, 
      trajectory generation},
   URL          = {http://wcl.cs.rpi.edu/papers/DASC_18.pdf},
   OPTURL-PUBLISHER = {}
}

@MASTERSTHESIS{paul-msthesis-2018,
   OPTADDRESS   = {},
   AUTHOR       = {Saswata Paul},
   MONTH        = {December},
   OPTNOTE      = {},
   SCHOOL       = {Rensselaer Polytechnic Institute},
   TITLE        = {Emergency Trajectory Generation for Fixed-Wing Aircraft},
   OPTTYPE      = {},
   YEAR         = {2018},
   ABSTRACT     = {Loss of thrust emergencies, e.g. â induced by bird 
      strikes or fuel exhaustion â give rise to the need for 
      expeditiously generating feasible trajectories to nearby runways, in 
      order to guide pilots. It is possible to pre-compute total loss of 
      thrust trajectories from every point in a 3D flight plan, but dynamic 
      factors which affect the feasibility of a trajectory, like partial 
      power, wind conditions, and aircraft surface damage, cannot be 
      predicted beforehand. We present a dynamic data-driven avionics 
      software approach for emergency aircraft trajectory generation which 
      can account for these factors. Our approach updates a damaged 
      aircraft performance model during flight which is used for generating 
      valid trajectories to a safe landing site. This model is 
      parameterized on a baseline glide ratio (g0) for a clean aircraft 
      configuration, assuming best gliding airspeed on straight flight. The 
      model predicts purely geometric criteria for flight trajectory 
      generation, namely, glide ratio and radius of turn for different bank 
      angles and drag configurations. Our model can dynamically infer the 
      most accurate baseline glide ratio of an aircraft from real-time 
      aircraft sensor data. We further introduce a trajectory utility 
      function to rank trajectories for safety, in particular, to prevent 
      steep turns close to the ground and to remain as close to the airport 
      or landing zone as possible. Wind can significantly affect a feasible 
      gliding trajectory with respect to the ground by changing the shape 
      of turns from circular to trochoidal, and by increasing or decreasing 
      the effective ground speed. Thus, in the presence of wind, otherwise 
      feasible trajectories may become infeasible. Therefore, we present an 
      additional wind model that takes into account the observed baseline 
      glide ratio of an aircraft and the horizontal wind vector (ââw ). 
      Our dynamic data-driven system uses this wind model to generate 
      wind-aware trajectories that are feasible in the presence of a 
      steady, horizontal wind. As a use case, we consider the Hudson River 
      ditching of US Airways 1549 in January 2009, using a flight simulator 
      to evaluate our trajectories and to get sensor data (airspeed, GPS 
      location, and barometric altitude). In this example, baseline glide 
      ratios of 17.25:1 and 19:1 enabled us to generate trajectories up to 
      28 seconds and 36 seconds after the birds strike respectively. We 
      were also able to generate a feasible wind-assisted trajectory when 
      trajectories were not possible in the absence of wind. In our 
      experiments, the computation time for a single trajectory ranged from 
      40 milliseconds to 60 milliseconds.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {dddas, data streaming, cyber physical systems, 
      trajectory generation},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/paul_ms.pdf}
}

@ARTICLE{imai-pilots-ieee-aesm-2017,
   AUTHOR       = {Shigeru Imai and Erik Blasch and Alessandro Galli and 
      Wennan Zhu and Frederick Lee and Carlos A. Varela},
   JOURNAL      = {IEEE Aerospace and Electronics Systems Magazine},
   OPTMONTH     = {},
   OPTNOTE      = {},
   NUMBER       = {4},
   PAGES        = {4-17},
   TITLE        = {Airplane Flight Safety Using Error-Tolerant Data Stream 
      Processing},
   VOLUME       = {32},
   YEAR         = {2017},
   ABSTRACT     = {Ubiquitous sensing is pervasive in society for such 
      applications as biometrics for health care, smart grids for power 
      delivery, and avionics for transportation safety. As society 
      continues to rely ever more on sensors for various applications, 
      there is a need to address the accuracy of sensor readings for health 
      maintenance, signal identification, and control. While there have 
      been advances in information fusion for avionics control and user 
      warnings, there is still a need for further research in methods that 
      allow for fault detection and recovery techniques to be easily 
      realized and implemented with minimal risk of software errors.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {programming languages, cyber physical systems, 
      data streaming},
   URL          = {http://www.brightcopy.net/allen/aesm/32-4/index.php#/6},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/pilots-aesm.pdf}
}

@ARTICLE{imai-chen-zhu-varela-clustercomp-2017,
   AUTHOR       = {Shigeru Imai and Sida Chen and Wennan Zhu and 
      Carlos A. Varela},
   JOURNAL      = {Cluster Computing},
   MONTH        = {November},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTPAGES     = {},
   TITLE        = {Dynamic Data-Driven Learning for Self-Healing Avionics},
   OPTVOLUME    = {},
   YEAR         = {2017},
   ABSTRACT     = {In sensor-based systems, spatio-temporal data streams 
      are often related in non-trivial ways. For example in avionics, while 
      the airspeed that an aircraft attains in cruise phase depends on the 
      weight it carries, it also depends on many other factors such as 
      engine inputs, angle of attack, and air density. It is therefore a 
      challenge to develop failure models that can help recognize errors in 
      the data, such as an incorrect fuel quantity or an incorrect 
      airspeed. In this paper, we present a highly-declarative programming 
      framework that facilitates the development of self-healing avionics 
      applications, which can detect and recover from data errors. Our 
      programming framework enables specifying expert-created failure 
      models using error signatures, as well as learning failure models 
      from data. To account for unanticipated failure modes, we propose a 
      new dynamic Bayes classifier, that detects outliers and upgrades them 
      to new modes when statistically significant. We evaluate error 
      signatures and our dynamic Bayes classifier for accuracy, response 
      time, and adaptability of error detection. While error signatures can 
      be more accurate and responsive than dynamic Bayesian learning, the 
      latter method adapts better due to its data-driven nature.},
   DOI          = {10.1007/s10586-017-1291-8},
   OPTISBN      = {},
   ISSN         = {1573-7543},
   KEYWORDS     = {programming languages, cyber physical systems, 
      data streaming},
   URL          = {http://rdcu.be/yJNh},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/pilots-cluster.pdf}
}

@INPROCEEDINGS{gomez-sbacpad-2017,
   ADDRESS      = {Campinas, Brazil},
   AUTHOR       = {Carlos Gomez and Harold Castro and Carlos Varela},
   BOOKTITLE    = {International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD) 2017},
   OPTEDITOR    = {},
   MONTH        = {October},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Global snapshot of a distributed system running on 
      virtual machines},
   OPTVOLUME    = {},
   YEAR         = {2017},
   ABSTRACT     = {Recently, a new concept called desktop cloud emerged, 
      which was developed to offer cloud computing services on 
      non-dedicated resources. Similarly to cloud computing, desktop clouds 
      are based on virtualization, and like other computational systems, 
      may experience faults at any time. As a consequence, reliability has 
      become a concern for researchers. Fault-tolerance strategies focused 
      on independent virtual machines include snapshots (checkpoints) to 
      resume the execution from a healthy state of a virtual machine on the 
      same or another host, which is trivial because hypervisors provide 
      this function. However, it is not trivial to obtain a global snapshot 
      of a distributed system formed by applications that communicate among 
      them because the concept of global clock does not exist, so it can 
      not be guaranteed that snapshots of each VM will be taken at the same 
      time. Therefore, some protocol is needed to coordinate the 
      participants to obtain a global snapshot. In this paper, we propose a 
      global snapshot protocol called UnaCloud Snapshot for its application 
      in the context of desktop clouds over TCP/IP networks. That differs 
      from other proposals that use a virtual network to inspect and 
      manipulate the traffic circulating among virtual machines making it 
      difficult to apply them to more realistic environments. We obtain a 
      consistent global snapshot for a general distributed system running 
      on virtual machines that maintains the semantics of the system 
      without modifying applications running on virtual machines or 
      hypervisors. A first prototype was developed and the preliminary 
      results of our evaluation are presented.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, cloud computing, 
      distributed systems},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/sbacpad2017.pdf}
}

@INPROCEEDINGS{imai-patterson-varela-ccgrid-2017,
   ADDRESS      = {Madrid, Spain},
   AUTHOR       = {Shigeru Imai and Stacy Patterson and Carlos A. Varela},
   BOOKTITLE    = {17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2017)},
   OPTEDITOR    = {},
   MONTH        = {May},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Maximum Sustainable Throughput Prediction for Data 
      Stream Processing over Public Clouds},
   OPTVOLUME    = {},
   YEAR         = {2017},
   ABSTRACT     = {In cloud-based stream processing services, the maximum 
      sustainable throughput (MST) is defined as the maximum throughput 
      that a system composed of a fixed number of virtual machines (VMs) 
      can ingest indefinitely. If the incoming data rate exceeds the 
      system's MST, unprocessed data accumulates, eventually making the 
      system inoperable. Thus, it is important for the service provider to 
      keep the MST always larger than the incoming data rate by dynamically 
      changing the number of VMs used by the system. In this paper, we 
      identify a common data processing environment used by modern data 
      stream processing systems, and we propose MST prediction models for 
      this environment. We train the models using linear regression with 
      samples obtained from a few VMs and predict MST for a larger number 
      of VMs. To minimize the time and cost for model training, we 
      statistically determine a set of training samples using Intel's Storm 
      benchmarks with representative resource usage patterns. Using typical 
      use-case benchmarks on Amazon's EC2 public cloud, our experiments 
      show that, training with up to 8 VMs, we can predict MST for 
      streaming applications with less than 4% average prediction error for 
      12 VMs, 9% for 16 VMs, and 32% for 24 VMs. Further, we evaluate our 
      prediction models with simulation-based elastic VM scheduling on a 
      realistic workload. These simulation results show that with 10% 
      over-provisioning, our proposed models' cost efficiency is on par 
      with the cost of an optimal scaling policy without incurring any 
      service level agreement violations.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, cloud computing, 
      stream processing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/ccgrid2017.pdf}
}

@INPROCEEDINGS{paul-dddas-2017,
   ADDRESS      = {Cambridge, MA},
   AUTHOR       = {Saswata Paul and Frederick Hole and Alexandra Zytek and 
      Carlos A. Varela},
   BOOKTITLE    = {Dynamic Data-Driven Application Systems (InfoSymbiotics/DDDAS 2017)},
   OPTEDITOR    = {},
   MONTH        = {August},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Flight Trajectory Planning for Fixed Wing Aircraft in 
      Loss of Thrust Emergencies},
   OPTVOLUME    = {},
   YEAR         = {2017},
   ABSTRACT     = {Loss of thrust emergencies-e.g., induced by bird/drone 
      strikes or fuel exhaustion-create the need for dynamic data-driven 
      flight trajectory planning to advise pilots or control UAVs. While 
      total loss of thrust trajectories to nearby airports can be 
      pre-computed for all initial points in a 3D flight plan, dynamic 
      aspects such as partial power and airplane surface damage must be 
      considered for accuracy. In this paper, we propose a new Dynamic 
      Data-Driven Avionics Software (DDDAS) approach which during flight 
      updates a damaged aircraft performance model, used in turn to 
      generate plausible flight trajectories to a safe landing site. Our 
      damaged aircraft model is parameterized on a baseline glide ratio for 
      a clean aircraft configuration assuming best gliding airspeed on 
      straight flight. The model predicts purely geometric criteria for 
      flight trajectory generation, namely, glide ratio and turn radius for 
      different bank angles and drag configurations. Given actual aircraft 
      performance data, we dynamically infer the baseline glide ratio to 
      update the damaged aircraft model. Our new flight trajectory 
      generation algorithm thus can significantly improve upon prior Dubins 
      based trajectory generation work by considering these data-driven 
      geometric criteria. We further introduce a trajectory utility 
      function to rank trajectories for safety. As a use case, we consider 
      the Hudson River ditching of US Airways 1549 in January 2009 using a 
      flight simulator to evaluate our trajectories and to get sensor data. 
      In this case, a baseline glide ratio of 17.25:1 enabled us to 
      generate trajectories up to 28 seconds after the birds strike, 
      whereas, a 19:1 baseline glide ratio enabled us to generate 
      trajectories up to 36 seconds after the birds strike. DDDAS can 
      significantly improve the accuracy of generated flight trajectories 
      thereby enabling better decision support systems for pilots in 
      emergency conditions.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {dddas, cyber physical systems, data streaming, 
      trajectory generation},
   URL          = {http://arxiv.org/abs/1711.00716},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/trajectory_tech_report_oct_17.pdf}
}

@TECHREPORT{imai-patterson-varela-mst-tr-2017,
   OPTADDRESS   = {},
   AUTHOR       = {Shigeru Imai and Stacy Patterson and Carlos A. Varela},
   INSTITUTION  = {Rensselaer Polytechnic Institute Department of Computer Science},
   MONTH        = {November},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   TITLE        = {Maximum Sustainable Throughput Prediction for 
      Large-Scale Data Streaming Systems},
   OPTTYPE      = {},
   YEAR         = {2017},
   ABSTRACT     = {In cloud-based stream processing services, the maximum 
      sustainable throughput (MST) is defined as the maximum throughput 
      that a system composed of a fixed number of virtual machines (VMs) 
      can ingest indefinitely. If the incoming data rate exceeds the 
      system's MST, unprocessed data accumulates, eventually making the 
      system inoperable. Thus, it is important for the service provider to 
      keep the MST always larger than the incoming data rate by dynamically 
      changing the number of VMs used by the system. In this paper, we 
      identify a common data processing environment used by modern data 
      stream processing systems, and we propose MST prediction models for 
      this environment. We train the models using linear regression with 
      samples obtained from a few VMs and predict MST for a larger number 
      of VMs. To minimize the time and cost for model training, we 
      statistically determine a set of training samples using Intel's Storm 
      benchmarks with representative resource usage patterns. Using typical 
      use-case benchmarks on Amazon's EC2 public cloud, our experiments 
      show that, training with up to 8 VMs, we can predict MST for 
      streaming applications with less than 4% average prediction error for 
      12 VMs, 9% for 16 VMs, and 32% for 24 VMs. Further, we evaluate our 
      prediction models with simulation-based elastic VM scheduling on a 
      realistic workload. These simulation results show that with 10% 
      over-provisioning, our proposed models' cost efficiency is on par 
      with the cost of an optimal scaling policy without incurring any 
      service level agreement violations.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, cloud computing, 
      stream processing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/mst2017.pdf}
}

@MISC{varela-manifesto-cloud-2017,
   AUTHOR       = {R. Buyya and Narayana Srirama, S. and G. Casale and 
      R. Calheiros and Y. Simmhan and B. Varghese and E. Gelenbe and 
      B. Javadi and L. M. Vaquero and M. A. S. Netto and Nadjaran Toosi, A. and 
      M. A. Rodriguez and I. M. Llorente and De Capitani di Vimercati, S. and 
      P. Samarati and D. Milojicic and C. Varela and R. Bahsoon and 
      Dias de Assuncao, M. and O. Rana and W. Zhou and H. Jin and 
      W. Gentzsch and A. Zomaya and H. Shen},
   OPTHOWPUBLISHED = {},
   JOURNAL      = {ArXiv e-prints},
   MONTH        = {November},
   OPTNOTE      = {},
   TITLE        = {A Manifesto for Future Generation Cloud Computing: 
      Research Directions for the Next Decade},
   YEAR         = {2017},
   ABSTRACT     = {The Cloud computing paradigm has revolutionised the 
      computer science horizon during the past decade and has enabled the 
      emergence of computing as the fifth utility. It has captured 
      significant attention of academia, industries, and government bodies. 
      Now, it has emerged as the backbone of modern economy by offering 
      subscription-based services anytime, anywhere following a 
      pay-as-you-go model. This has instigated (1) shorter establishment 
      times for start-ups, (2) creation of scalable global enterprise 
      applications, (3) better cost-to-value associativity for scientific 
      and high performance computing applications, and (4) different 
      invocation/execution models for pervasive and ubiquitous 
      applications. The recent technological developments and paradigms 
      such as serverless computing, software-defined networking, Internet 
      of Things, and processing at network edge are creating new 
      opportunities for Cloud computing. However, they are also posing 
      several new challenges and creating the need for new approaches and 
      research strategies, as well as the re-evaluation of the models that 
      were developed to address issues such as scalability, elasticity, 
      reliability, security, sustainability, and application models. The 
      proposed manifesto addresses them by identifying the major open 
      challenges in Cloud computing, emerging trends, and impact areas. It 
      then offers research directions for the next decade, thus helping in 
      the realisation of Future Generation Cloud Computing.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, cloud computing},
   URL          = {https://arxiv.org/abs/1711.09123},
   OPTURL-PUBLISHER = {},
   PDF          = {https://arxiv.org/pdf/1711.09123.pdf}
}

@INBOOK{imai-cloud-encyclopedia-2016,
   OPTADDRESS   = {},
   AUTHOR       = {Shigeru Imai and Pratik Patel and Carlos A. Varela},
   CHAPTER      = {50: Developing Elastic Software for the Cloud},
   OPTEDITION   = {},
   EDITOR       = {San Murugesan and Irena Bojanova},
   OPTMONTH     = {},
   NOTE         = {invited book chapter},
   OPTNUMBER    = {},
   PAGES        = {609--627},
   PUBLISHER    = {Wiley},
   OPTSERIES    = {},
   TITLE        = {Encyclopedia on Cloud Computing},
   OPTTYPE      = {},
   OPTVOLUME    = {},
   YEAR         = {2016},
   ABSTRACT     = {Developing standalone applications running on a single 
      computer is very different from developing scalable applications 
      running on the cloud, such as data analytics applications that 
      process terabytes of data, Web applications that receive thousands of 
      requests per second, or distributed computing applications where 
      components run simultaneously across many computers. Cloud computing 
      service providers help facilitate the development of these complex 
      applications through their cloud programming frameworks. A cloud 
      programming framework is a software platform to develop applications 
      in the cloud that takes care of nonfunctional concerns, such as 
      scalability, elasticity, fault tolerance, and load balancing. Using 
      cloud programming frameworks, application developers can focus on the 
      functional aspects of their applications and benefit from the power 
      of cloud computing. In this chapter, we will show how to use some of 
      the existing cloud programming frameworks in three application 
      domains: data analytics, Web applications, and distributed computing. 
      More specifically, we will explain how to use MapReduce (Dean and 
      Ghemawat, 2008) for data analytics, Google App Engine (Google, 2014) 
      for Web applications, and SALSA (Varela and Agha, 2001) for 
      distributed computing. The rest of the chapter is structured as 
      follows. In section 50.2, we describe nonfunctional concerns 
      supported at different levels of cloud services and go through 
      existing cloud programming frameworks. In section 50.3, we explain 
      MapReduce, Google App Engine, and Simple Actor Language System and 
      Architecture (SALSA). In section 50.4, we illustrate how to use these 
      three programming frameworks by showing example applications. 
      Finally, we conclude the chapter in section 50.5.},
   DOI          = {10.1002/9781118821930.ch50},
   ISBN         = {978-1-118-82197-8},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, cloud computing, actor model},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/eoc2016.pdf}
}

@INPROCEEDINGS{chen-pilots-dddas-2016,
   ADDRESS      = {Hartford, CT},
   AUTHOR       = {Sida Chen and Shigeru Imai and Wennan Zhu and 
      Carlos A. Varela},
   BOOKTITLE    = {Dynamic Data-Driven Application Systems (DDDAS 2016)},
   OPTEDITOR    = {},
   MONTH        = {August},
   NOTE         = {Appears in Handbook of Dynamic Data-Driven Application Systems.},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Towards Learning Spatio-Temporal Data Stream 
      Relationships for Failure Detection in Avionics},
   OPTVOLUME    = {},
   YEAR         = {2016},
   ABSTRACT     = {Spatio-temporal data streams are often related in 
      complex ways, for example, while the airspeed that an aircraft 
      attains in cruise phase depends on the weight it carries, it also 
      depends on many other factors. Some of these factors are controllable 
      such as engine inputs or the airframeâs angle of attack, while 
      others contextual, such as air density, or turbulence. It is 
      therefore critical to develop failure models that can help recognize 
      errors in the data, such as an incorrect fuel quantity, a 
      malfunctioning pitot-static system, or other abnormal flight 
      conditions. In this paper, we extend our PILOTS programming language 
      to support machine learning techniques that will help data 
      scientists: (1) create parameterized failure models from data and (2) 
      continuously train a statistical model as new evidence (data) 
      arrives. The linear regression approach learns parameters of a linear 
      model to minimize least squares error for given training data. The 
      Bayesian approach classifies operating modes according to supervised 
      offline training and can discover new statistically significant modes 
      online. As shown in Tuninter 1153 simulation result, dynamic Bayes 
      classifier finds discrete error states on the fly while the error 
      signatures approach requires every error state predefined. Using 
      synthetic data, we compare the accuracy, response time, and 
      adaptability of these machine learning techniques. Future dynamic 
      data driven applications systems (DDDAS) using machine learning can 
      identify complex dynamic data-driven failure models, which will in 
      turn enable more accurate flight planning and control for emergency 
      conditions.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {programming languages, cyber physical systems, 
      data streaming},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/dddas2016.pdf}
}

@MISC{imai-patterson-varela-ccgrid-2016b,
   ADDRESS      = {Cartagena, Colombia},
   AUTHOR       = {Shigeru Imai and Stacy Patterson and Carlos A. Varela},
   HOWPUBLISHED = {16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2016)},
   MONTH        = {May},
   NOTE         = {Doctoral symposium paper (best doctoral symposium paper award)},
   TITLE        = {Cost-Efficient Elastic Stream Processing Using 
      Application-Agnostic Performance Prediction},
   YEAR         = {2016},
   ABSTRACT     = {Cloud computing adds great on-demand scalability to 
      stream processing systems with its pay-per-use cost model. However, 
      to promise service level agreements to users while keeping resource 
      allocation cost low is a challenging task due to uncertainties coming 
      from various sources, such as the target application's scalability, 
      future computational demand, and the target cloud infrastructure's 
      performance variability. To deal with these uncertainties, it is 
      essential to create accurate application performance prediction 
      models. In cloud computing, the current state of the art in 
      performance modelling remains application-specific. We propose an 
      application-agnostic performance modeling that is applicable to a 
      wide range of applications. We also propose an extension to 
      probabilistic performance prediction. This paper reports the progress 
      we have made so far.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, cloud computing, 
      stream processing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/ccgrid2016-phd.pdf}
}

@MISC{imai-patterson-varela-ccgrid-2016a,
   ADDRESS      = {Cartagena, Colombia},
   AUTHOR       = {Shigeru Imai and Stacy Patterson and Carlos A. Varela},
   HOWPUBLISHED = {16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2016)},
   MONTH        = {May},
   NOTE         = {Short paper},
   TITLE        = {Elastic Virtual Machine Scheduling for Continuous Air 
      Traffic Optimization},
   YEAR         = {2016},
   ABSTRACT     = {As we are facing ever increasing air traffic demand, it 
      is critical to enhance air traffic capacity and alleviate human 
      controllers' workload by viewing air traffic optimization as a 
      continuous/online streaming problem. Air traffic optimization is 
      commonly formulated as an integer linear programming(ILP) problem. 
      Since ILP is NP-hard, it is computationally intractable. Moreover, a 
      fluctuating number of flights changes computational demand 
      dynamically. In this paper, we present an elastic middleware 
      framework that is specifically designed to solve ILP problems 
      generated from continuous air traffic streams. Experiments show that 
      our VM scheduling algorithm with time-series prediction can achieve 
      similar performance to a static schedule while using 49% fewer VM 
      hours for a realistic air traffic pattern.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, cloud computing, 
      stream processing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/ccgrid2016-short.pdf}
}

@MISC{patterson-varela-stream-2016,
   ADDRESS      = {Washington DC},
   AUTHOR       = {Stacy Patterson and Carlos A. Varela},
   HOWPUBLISHED = {Streaming Technology Requirements, Application and Middleware (STREAM2016)},
   MONTH        = {March},
   OPTNOTE      = {},
   TITLE        = {Steering Complex Systems using a Dynamic, Data-Driven 
      Modeling Approach},
   YEAR         = {2016},
   ABSTRACT     = {Dynamic data-driven applications and systems (DDDAS) use 
      models to control systems using a feedback loop, however, they go 
      beyond traditional control-theoretic approaches in that the data 
      acquisition process itself may be controlled by steering the system 
      resources. Thus, there is the opportunity to strategically collect 
      data and modify the models dynamically to incorporate recent 
      observations. This improved modeling capability can then be used in 
      feedback to steer the system towards a desired trajectory or outcome. 
      Such an adaptive, data-driven approach has the potential to 
      significantly improve the modeling capability of complex systems that 
      include streaming data and opens the door to new applications, 
      including smarter, safer vehicles and environments. Examples of such 
      applications include},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {programming languages, cyber physical systems, 
      data streaming},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://streamingsystems.org/Papers/Varela.pdf}
}

@PROCEEDINGS{varela-agere-2015,
   OPTADDRESS   = {},
   BOOKTITLE    = {AGERE 2015 Workshop Proceedings},
   EDITOR       = {Elisa Gonzalez Boix and Philipp Haller and 
      Alessandro Ricci and Carlos A. Varela},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PUBLISHER    = {ACM},
   OPTSERIES    = {},
   TITLE        = {Proceedings of the 5th International Workshop on 
      Programming based on Actors Agents & Decentralized Control, AGERE 
      2015, Pittsburgh, PA, USA, October 25-30, 2015},
   OPTVOLUME    = {},
   YEAR         = {2015},
   ABSTRACT     = {The 5th International Workshop on Programming based on 
      Actors, Agents, and Decentralized Control (AGERE!), Pittsburgh, PA, 
      USA, October 26, 2015, co-located with SPLASH 2015. This latest 
      edition of AGERE!, an ACM SIGPLAN workshop, confirms its role as a 
      unique venue in the research landscape bringing together researchers 
      and practitioners interested in actors, agents and, more generally, 
      high-level paradigms emphasizing decentralized control in thinking, 
      modeling, developing, and reasoning about software systems. The 
      fundamental turn of software to concurrency and distribution is not 
      only a matter of performance, but also of design and abstraction. It 
      calls for programming paradigms that, compared to current mainstream 
      paradigms, allow us to more naturally think about, design, develop, 
      execute, debug, and profile systems exhibiting different degrees of 
      concurrency, autonomy, decentralization of control, and physical 
      distribution. All stages of software development are considered 
      interesting for the workshop, including requirements, modeling, 
      formalization, prototyping, design, implementation, tooling, testing, 
      and any other means of producing running software based on actors and 
      agents as first-class abstractions. The scope of the workshop 
      includes aspects that concern both the theory and the practice of 
      programming using such paradigms, so as to bring together researchers 
      working on models, languages and technologies, as well as 
      practitioners using such technologies to develop real-world systems 
      and applications},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {concurrent programming, programming languages},
   URL          = {http://dl.acm.org/citation.cfm?id = 2824815&CFID = 784586504&CFTOKEN = 85922668},
   OPTURL-PUBLISHER = {}
}

@INPROCEEDINGS{dessell-varela-agere-2015,
   OPTADDRESS   = {},
   AUTHOR       = {Travis Desell and Carlos A. Varela},
   BOOKTITLE    = {Agere Workshop at ACM SPLASH 2015 Conference},
   OPTEDITOR    = {},
   MONTH        = {October},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {A Performance and Scalability Analysis of Actor Message 
      Passing and Migration in SALSA Lite},
   OPTVOLUME    = {},
   YEAR         = {2015},
   ABSTRACT     = {This paper presents a newly developed implementation of 
      remote message passing, remote actor creation and actor migration in 
      SALSA Lite. The new runtime and protocols are implemented using SALSA 
      Liteâs lightweight actors and asynchronous message passing, and 
      provide significant performance improvements over SALSA version 
      1.1.5. Actors in SALSA Lite can now be local, the default lightweight 
      actor implementation; remote, actors which can be referenced remotely 
      and send remote messages, but cannot migrate; or mobile, actors that 
      can be remotely referenced, send remote messages and migrate to 
      different locations. Remote message passing in SALSA Lite is twice as 
      fast, actor migration is over 17 times as fast, and remote actor 
      creation is two orders of magnitude faster. Two new benchmarks for 
      remote message passing and migration show this implementation has 
      strong scalability in terms of concurrent actor message passing and 
      migration. The costs of using remote and mobile actors are also 
      investigated. For local message passing, remote actors resulted in no 
      overhead, and mobile actors resulted in 30% overhead. Local creation 
      of remote and mobile actors was more expensive with 54% overhead for 
      remote actors and 438% for mobile actors. In distributed scenarios, 
      creating mobile actors remotely was only 6% slower than creating 
      remote actors remotely, and passing messages between mobile actors on 
      different theaters was only 5.55% slower than passing messages 
      between remote actors. These results highlight the benefits of our 
      approach in implementing the distributed runtime over a core set of 
      efficient lightweight actors, as well as provide insights into the 
      costs of implementing remote message passing and actor mobility.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, concurrent programming, 
      programming languages},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/agere2015.pdf}
}

@INPROCEEDINGS{imai-galli-varela-pilots-dddas-2015,
   ADDRESS      = {Reykjavik, Iceland},
   AUTHOR       = {Shigeru Imai and Alessandro Galli and Carlos A. Varela},
   BOOKTITLE    = {Dynamic Data-Driven Application Systems (DDDAS 2015)},
   OPTEDITOR    = {},
   MONTH        = {June},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Dynamic Data-Driven Avionics Systems: Inferring Failure 
      Modes from Data Streams},
   OPTVOLUME    = {},
   YEAR         = {2015},
   ABSTRACT     = {Dynamic Data-Driven Avionics Systems (DDDAS) embody 
      ideas from the Dynamic Data- Driven Application Systems paradigm by 
      creating a data-driven feedback loop that analyzes spatio-temporal 
      data streams coming from aircraft sensors and instruments, looks for 
      errors in the data signaling potential failure modes, and corrects 
      for erroneous data when possible. In case of emergency, DDDAS need to 
      provide enough information about the failure to pilots to support 
      their decision making in real-time. We have developed the PILOTS 
      system, which supports data-error tolerant spatio-temporal stream 
      processing, as an initial step to realize the concept of DDDAS. In 
      this paper, we apply the PILOTS system to actual data from the 
      Tuninter 1153 (TU1153) flight accident in August 2005, where the 
      installation of an incorrect fuel sensor led to a fatal accident. The 
      underweight condition suggesting an incorrect fuel indication for 
      TU1153 is successfully detected with 100% accuracy during cruise 
      flight phases. Adding logical redundancy to avionics through a 
      dynamic data-driven approach can significantly improve the safety of 
      flight.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {programming languages, data streaming, 
      cyber physical systems},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/dddas2015.pdf}
}

@MASTERSTHESIS{hancock-disc-2015,
   OPTADDRESS   = {},
   AUTHOR       = {Matthew Hancock},
   MONTH        = {May},
   OPTNOTE      = {},
   SCHOOL       = {Rensselaer Polytechnic Institute},
   TITLE        = {Middleware Framework for Distributed Cloud Storage},
   OPTTYPE      = {},
   YEAR         = {2015},
   ABSTRACT     = {The device people use to capture multimedia has changed 
      over the years with the rise of smartphones. Smartphones are readily 
      available, easy to use and capture multimedia with high quality. 
      While consumers capture all of this media, the storage requirements 
      are not changing significantly. Therefore, people look towards cloud 
      storage solutions. The typical consumer stores files within a single 
      provider. They want a solution that is quick to access, reliable, and 
      secure. Using multiple providers can reduce cost and improve overall 
      performance. We present a middleware framework called Distributed 
      Indexed Storage in the Cloud (DISC) to improve all aspects a user 
      expects in a cloud provider. The consumer provides the middleware 
      files, which get processed through user policies, and stored within 
      the cloud. The process of uploading and downloading is essentially 
      transparent. The upload and download performance happens 
      simultaneously by distributing a subset of the file across multiple 
      cloud providers that it deems fit based on policies. Reliability is 
      another important feature of DISC. To improve reliability, we propose 
      a solution that replicates the same subset of the file across 
      different providers. This is beneficial when one provider is 
      unresponsive, the data can be pulled from another provider with the 
      same subset. Security has great importance when dealing with 
      consumerâs data. We inherently gain security when improving 
      reliability. Since the file is distributed using subsets, not one 
      provider has the full file. In our experiment, performance 
      improvements show when delivering and retrieving files compared to 
      the standard approach. The results are promising, saving upwards of 
      eight seconds in processing time. With the expansion of more cloud 
      providers, the results are expected to improve.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, distributed cloud storage, 
      cloud computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/hancock-disc-master.pdf}
}

@MISC{hancock-varela-ccgrid-2015,
   ADDRESS      = {Shenzhen, China},
   AUTHOR       = {Matthew Hancock and Carlos A. Varela},
   HOWPUBLISHED = {15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2015)},
   MONTH        = {May},
   NOTE         = {Poster},
   TITLE        = {Augmenting Performance For Distributed Cloud Storage},
   YEAR         = {2015},
   ABSTRACT     = {The device people use to capture multimedia has changed 
      over the years with the rise of smart phones. Smart phones are 
      readily available, easy to use, and capture multimedia with high 
      quality. While consumers capture all of this media, the storage 
      requirements are not changing significantly. Therefore, people look 
      towards cloud storage solutions. The typical consumer stores files 
      within a single provider. They want a solution that is quick to 
      access, reliable, and secure. Using multiple providers can reduce 
      cost and improve overall performance. We present a middleware 
      framework called Distributed Indexed Storage in the Cloud (DISC) to 
      improve all aspects a user expects in a cloud provider. The process 
      of uploading and downloading is essentially transparent to the user. 
      The upload and download performance happens simultaneously by 
      distributing a subset of the file across multiple cloud providers 
      that it deems fit based on policies. Reliability is another important 
      feature of DISC. To improve reliability, we propose a solution that 
      replicates the same subset of the file across different providers. 
      This is beneficial when one provider is unresponsive, the data can be 
      pulled from another provider with the same subset. Security has great 
      importance when dealing with consumers data. We inherently gain 
      security when improving reliability. Since the file is distributed 
      using subsets, not one provider has the full file. In our experiment, 
      performance improvements are observed when delivering and retrieving 
      files compared to the standard approach. The results are promising, 
      saving upwards of eight seconds in processing time. With the 
      expansion of more cloud providers, the results are expected to 
      improve.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, distributed cloud storage, 
      cloud computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/ccgrid2015-disc.pdf}
}

@MISC{imai-patterson-varela-ccgrid-2015,
   ADDRESS      = {Shenzhen, China},
   AUTHOR       = {Shigeru Imai and Stacy Patterson and Carlos A. Varela},
   HOWPUBLISHED = {15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2015)},
   MONTH        = {May},
   NOTE         = {Doctoral symposium paper},
   TITLE        = {Cost-Efficient High-Performance Internet-Scale Data 
      Analytics over Multi-Cloud Environments},
   YEAR         = {2015},
   ABSTRACT     = {To analyze data distributed across the world, one can 
      use distributed computing power to take advantage of data locality 
      and achieve higher throughput. The multi-cloud model, a composition 
      of multiple clouds, can provide cost-effective computing resources to 
      process such distributed data. As multicolour becomes more and more 
      accessible from cloud users, the use of MapReduce/Hadoop over 
      multi-cloud is emerging, however, existing work has two issues in 
      principle. First, it mainly focuses on maximizing throughput by 
      improving data locality, but the perspective of cost optimization is 
      missing. Second, conventional centralized optimization methods would 
      not be able to scale well in multi-cloud environments due to its 
      highly dynamic nature. We plan to solve the first issue by 
      formalizing an optimization framework for MapReduce over multi-cloud 
      including virtual machine and data transfer costs, and then the 
      second issue by creating decentralized resource management middleware 
      that considers multi-criteria (cost and performance) optimization. 
      This paper reports progress we have made so far on these two 
      directions.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, cloud computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/ccgrid2015.pdf}
}

@MISC{varela-stream-2015,
   AUTHOR       = {Carlos A Varela},
   HOWPUBLISHED = {Streaming Technology Requirements, Application and Middleware (STREAM2015)},
   MONTH        = {October},
   OPTNOTE      = {},
   TITLE        = {Dynamic Data Driven Avionics Systems},
   YEAR         = {2015},
   ABSTRACT     = {Dynamic Data-Driven Avionics Systems (DDDAS) embody 
      ideas from the Dynamic Data-Driven Application Systems paradigm by 
      creating a data-driven feedback loop that analyzes spatiotemporal 
      data streams coming from aircraft sensors and instruments, looks for 
      errors in the data signaling potential failure modes, and corrects 
      for erroneous data when possible.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {programming languages, cyber physical systems, 
      data streaming},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PS           = {http://wcl.cs.rpi.edu/papers/stream2015.pdf}
}

@PROCEEDINGS{varela-agere-2014,
   OPTADDRESS   = {},
   BOOKTITLE    = {AGERE 2014 Workshop Proceedings},
   EDITOR       = {Elisa Gonzalez Boix and Philipp Haller and 
      Alessandro Ricci and Carlos A. Varela},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PUBLISHER    = {ACM},
   OPTSERIES    = {},
   TITLE        = {Proceedings of the 4th International Workshop on 
      Programming based on Actors Agents & Decentralized Control, AGERE 
      2014, Portland, OR, USA, October 20-24, 2014},
   OPTVOLUME    = {},
   YEAR         = {2014},
   ABSTRACT     = {The 4th International Workshop on Programming based on 
      Actors, Agents, and Decentralized Control (AGERE!) is a unique venue 
      in the research landscape bringing together researchers and 
      practitioners interested in actors, agents and, more generally, 
      high-level paradigms emphasizing decentralized control in thinking, 
      modeling, developing, and reasoning about programs and software 
      systems. The fundamental turn of software into concurrency and 
      distribution is not only a matter of performance, but also of design 
      and abstraction. It calls for programming paradigms that, compared to 
      current mainstream paradigms, would allow us to more naturally think 
      about, design, develop, execute, debug, and profile systems 
      exhibiting different degrees of concurrency, autonomy, 
      decentralization of control, and physical distribution. AGERE! is an 
      ACM SIGPLAN workshop dedicated to focusing on and developing research 
      on programming systems, languages and applications based on actors, 
      agents and any related programming paradigm promoting a decentralized 
      mindset in solving problems and in developing systems to implement 
      such solutions. All stages of software development are considered 
      interesting for the workshop, including requirements, modeling, 
      formalization, prototyping, design, implementation, tooling, testing, 
      and any other means of producing running software based on actors and 
      agents as first-class abstractions. The scope of the workshop 
      includes aspects that concern both the theory and the practice of 
      design and programming using such paradigms, so as to bring together 
      researchers working on models, languages and technologies, as well as 
      practitioners using such technologies to develop real-world systems 
      and applications. AGERE! 2014 received 14 submissions, of which 9 
      full papers were accepted to be included in these proceedings. Since 
      the first edition, a main objective of the workshop has been to 
      explore and foster the adoption of actors, agents and paradigms based 
      on a decentralized control as a more high-level and effective 
      alternative --- from an abstraction point of view in particular --- 
      to mainstream approaches such as multi-threaded programming. Among 
      others, this calls for devising technologies featuring a good level 
      of maturity and performance. This is reflected by the contributions 
      accepted in this edition.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {concurrent programming, programming languages},
   URL          = {http://dl.acm.org/citation.cfm?id 

= 2687357&CFID = 784586504&CFTOKEN = 85922668},
   OPTURL-PUBLISHER = {}
}

@INCOLLECTION{dessell-varela-cob-2014,
   OPTADDRESS   = {},
   AUTHOR       = {Travis Desell and Carlos A. Varela},
   BOOKTITLE    = {Concurrent Objects and Beyond},
   OPTCHAPTER   = {},
   OPTEDITION   = {},
   OPTEDITOR    = {},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   PAGES        = {144-166},
   PUBLISHER    = {Springer Berlin Heidelberg},
   SERIES       = {Lecture Notes in Computer Science},
   TITLE        = {SALSA Lite: A Hash-Based Actor Runtime for Efficient 
      Local Concurrency},
   OPTTYPE      = {},
   VOLUME       = {8665},
   YEAR         = {2014},
   ABSTRACT     = {As modern computer processors continue becoming more 
      parallel, the actor model plays an increasingly important role in 
      helping develop correct concurrent systems. In this paper, we 
      consider efficient runtime strategies for non-distributed actor 
      programming languages. While the focus is on a non-distributed 
      implementation, it serves as a platform for a future efficient 
      distributed implementation. Actors extend the object model by 
      combining state and behavior with a thread of control, which can 
      significantly simplify concurrent programming. Further, with 
      asynchronous communication, no shared memory, and the fact an actor 
      only processes one message at a time, it is possible to easily 
      implement transparent distributed message passing and actor mobility. 
      This paper discusses SALSA Lite, a completely re-designed actor 
      runtime system engineered to maximize performance. The new runtime 
      consists of a highly optimized core for lightweight actor creation, 
      message passing, and message processing, which is used to implement 
      more advanced coordination constructs. This new runtime is novel in 
      two ways. First, by default the runtime automatically maps the 
      lightweight actors to threads, allowing the number of threads used by 
      a program to be specified at runtime transparently, without any 
      changes to the code. Further, language constructs allow programmers 
      to have first class control over how actors are mapped to threads 
      (creating new threads if needed). Second, the runtime directly maps 
      actor garbage collection to object garbage collection, allowing 
      non-distributed SALSA programs to use Javaâs garbage collection 
      âfor freeâ. This runtime is shown to have comparable or better 
      performance for basic actor constructs (message passing and actor 
      creation) than other popular actor languages: Erlang, Scala, and 
      Kilim.},
   DOI          = {10.1007/978-3-662-44471-9_7},
   ISBN         = {978-3-662-44470-2},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, concurrent programming, 
      programming languages, actor model},
   URL          = {http://dx.doi.org/10.1007/978-3-662-44471-9_7},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/2014_cob.pdf}
}

@INPROCEEDINGS{agere06-kuangA,
   OPTADDRESS   = {},
   AUTHOR       = {P. Kuang and J. Field and C. A. Varela},
   BOOKTITLE    = {Agere Workshop at ACM SPLASH 2014 Conference},
   OPTEDITOR    = {},
   MONTH        = {October},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Fault Tolerant Distributed Computing using Asynchronous 
      Local Checkpointing},
   OPTVOLUME    = {},
   YEAR         = {2014},
   ABSTRACT     = {The transactor model, an extension to the actor model, 
      specifies an operational semantics to model concurrent systems with 
      globally consistent distributed state. The semantics formalizes 
      tracks dependencies among loosely coupled distributed components to 
      ensure fault tolerance through a two-phase commit protocol and to 
      issue rollbacks in the presence of failures or state inconsistency. 
      In this paper, we introduce the design of a transactor language as an 
      extension of an existing actor language and highlight the 
      capabilities of this programming model. We developed our transactor 
      language using SALSA, an actor language developed as a dialect of 
      Java. We first develop a basic transactor SALSA/Java library, which 
      implements the fundamental semantics of the transactor model 
      following the operational semantics' transition rules. We then 
      illustrate two example programs written using this library. 
      Furthermore, we introduce a state storage abstraction known as the 
      Uniform Storage Locator following the Universal Actor Name and 
      Universal Actor Locator abstractions from SALSA that uses a storage 
      service to maintain checkpointed transactor states. The transactor 
      model guarantees safety but not progress. Therefore, to help develop 
      realistic transactor programs that make progress, we introduce the 
      Consistent Distributed State Protocol and Ping Director that improve 
      upon the Universal Checkpointing Protocol to aid transactor programs 
      in reaching globally consistent distributed states.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, programming languages},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/agere06-kuangA.pdf}
}

@MASTERSTHESIS{dunn-msthesis-2014,
   OPTADDRESS   = {},
   AUTHOR       = {Ian W. Dunn},
   MONTH        = {May},
   OPTNOTE      = {},
   SCHOOL       = {Rensselaer Polytechnic Institute},
   TITLE        = {Proving Correctness of Actor Systems using FIFO 
      Communication},
   OPTTYPE      = {},
   YEAR         = {2014},
   ABSTRACT     = {We are developing a hierarchy of theories to reason 
      about actor systems, with the ability to reuse proofs formalized at 
      an abstract level in reasoning about concrete actor programs. Several 
      actor languages, e.g., the ABCL family of languages, implement 
      First-In First-Out (FIFO) communication between actors. Furthermore, 
      many practical systems require FIFO communication for correctness. In 
      previous work, Musser and Varela formalized properties including 
      monotonicity of actor local states, guaranteed message delivery, and 
      general con- sequences of fairness. While the actor model requires 
      fairness, it does not require FIFO communication. In this thesis, we 
      extend the actor reasoning framework to enable proving correctness of 
      systems which require FIFO communication. This is done by extending 
      the actor framework within the Athena proof system, in which proofs 
      are both humanreadable and machine- checkable, taking advantage of 
      its library of algebraic and relational theories. We introduce three 
      new theories into the actor model framework of Athena. All three of 
      these theories are developed at the abstract level, enabling the use 
      of them in many concrete programs. The first two of these theories 
      introduce sequence numbers into the messages passed between actors, 
      one for sending and one for receiving. We take advantage of the 
      monotonicity of actor transitions to show that send sequence numbers 
      and receive sequence numbers will only ever increase. The third new 
      theory begins to prove the ordering of messages given an order of the 
      sequence numbers. We use results from the first two theories to show 
      that if two messages are about to be sent or received, then the order 
      in which the messages are sent or received is dictated by the 
      sequence numbers. We then use that result to show that two messages 
      must be received in the same order in which they were sent. We 
      continue on to show an example of an actor system, based on the 
      computation of the Sieve of Eratosthenes, that requires FIFO 
      communication in order to be able to prove correctness of its 
      computation.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, concurrent programming, 
      internet programming languages, actor model, formal verification},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/DunnMSThesis.pdf}
}

@MASTERSTHESIS{goldsj3-vmmalleability-2014,
   OPTADDRESS   = {},
   AUTHOR       = {Jonathan Goldszmidt},
   MONTH        = {May},
   OPTNOTE      = {},
   SCHOOL       = {Rensselaer Polytechnic Institute},
   TITLE        = {A Look Into Virtual Machine Malleability},
   OPTTYPE      = {},
   YEAR         = {2014},
   ABSTRACT     = {Many have leveraged virtual machine cloning, migration 
      and other features of virtualization to improve and guarantee high 
      availability and performance of their applications. Virtual machine 
      malleability is the ability to split and merge virtual machines based 
      on demand and performance, to improve virtualization functionality. 
      The splitting function will take a virtual machine with a workload of 
      N independent processes and split the independent processes into at 
      most N virtual machines. Similarly, the merging function will take at 
      most N previously-split virtual machines and merge their independent 
      processes into a single virtual machine. There has been previous 
      research in malleability at the application layer. However, most of 
      the benefits of application layer malleability can also be realized 
      at the virtual machine layer. These benefits include dynamic workload 
      reconfigurability while affording better transparency. The benefits 
      provided by virtual machine malleability can be put into 3 
      categories: scalability and elasticity, energy improvements and 
      process scheduling. Traditionally, the approach of application 
      scaling at the application layer involves writing an application with 
      malleability in mind. Using our method of scaling, applications do 
      not need to be written with malleability in mind to be able to scale, 
      as long as the application workloads are independent or they can 
      communicate over a network. The approach of energy optimization 
      typically involves consolidating virtual machines onto fewer hosts 
      and putting idle hosts in a low power or off state. Although this 
      method works quite well, certain virtual machine configurations 
      cannot be consolidated without significantly impacting performance. 
      Using virtual machine malleability, processes running on a virtual 
      machine that is on an overloaded physical machine can be split across 
      multiple virtual machines, each with a smaller resource footprint. 
      Each of these split machines can then be consolidated without causing 
      the physical hosts to become overloaded. Such flexibility in virtual 
      machine scheduling enables better energy consumption. Our experiments 
      with virtual machine malleability show that application scalability 
      is possible with negligible performance degradation, that it is 
      possible to dynamically reconfigure workloads to achieve set resource 
      utilization, which in turn improves energy utilization. We evaluate 
      scalability and elasticity by splitting and merging virtual machines 
      running many instances of the same CPU intensive process. Our 
      evaluation of splitting and merging demonstrates linear performance 
      changes. Finally, we discuss some future work which includes the 
      design of middleware for managing virtual machine malleability.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {virtual machines malleability, distributed computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/jonathangoldszmidt-master.pdf}
}

@MASTERSTHESIS{kuang-transactor-2014,
   OPTADDRESS   = {},
   AUTHOR       = {Phillip Kuang},
   MONTH        = {July},
   OPTNOTE      = {},
   SCHOOL       = {Rensselaer Polytechnic Institute},
   TITLE        = {Implementation of the Transactor Model: Fault Tolerant 
      Distributed Computing using Asynchronous Local Checkpointing},
   OPTTYPE      = {},
   YEAR         = {2014},
   ABSTRACT     = {The Transactor model, an extension to the Actor Model, 
      is a well-formulated way to model distributed concurrent systems 
      while maintaining a global distributed state. This model provides 
      semantics to track dependencies among loosely-coupled distributed 
      components that ensures fault tolerance through a two-phase commit 
      protocol and issues rollbacks in the presence of failures or state 
      inconsistency. We seek to introduce an implementation of this model 
      through a transactor language as an extension of an existing actor 
      language and highlight the capabilities of this programming model. We 
      developed our transactor language using SALSA, an actor language 
      developed as a dialect of Java. This transactor language will in turn 
      be a dialect of SALSA, which similarly will compile into Java code. 
      We first develop our transactor language as a basic SALSA/Java 
      library in conjunction with the SALSA Java library. This library 
      implements the fundamental semantics of the transactor model 
      following the defined transition rules. We then provide example 
      programs written using this library such as the reference cell, 
      banking transfer, and the house purchase transaction. Furthermore, we 
      seek to expand our language by introducing a state storage property 
      known as the Universal Storage Location as an extension of the 
      Universal Actor Name and Universal Actor Locator in SALSA that levies 
      a Storage Service to maintain checkpointed transactor states. We also 
      introduce the Consistent Transaction Protocol and Ping Director that 
      improves upon the Universal Checkpointing Protocol to aid transactor 
      programs in reaching globally consistent states and perform reliable 
      transactions.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, concurrent programming, 
      coordination models, internet programming languages},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/KuangMSThesis.pdf}
}

@MASTERSTHESIS{patelp8-mobilecca-2014,
   OPTADDRESS   = {},
   AUTHOR       = {Pratik Patel},
   MONTH        = {December},
   OPTNOTE      = {},
   SCHOOL       = {Rensselaer Polytechnic Institute},
   TITLE        = {Speeding Up and Augmenting Mobile Device Applications 
      using Actors and Cloud Computing},
   OPTTYPE      = {},
   YEAR         = {2014},
   ABSTRACT     = {The use of mobile devices has been steadily increasing, 
      for example, smartphones are expected to be used by 69.4% of people 
      worldwide by 2017. User expectations have also increased as the 
      computational capabilities of mobile devices improve. As a result, 
      software applications need to perform ever more complex and 
      data-intensive tasks to address user expectations. Because of 
      resource limitations in mobile devices (e.g., battery, limited 
      network connectivity) we investigate the cloud computing paradigm as 
      a means of augmenting mobile device capabilities. In this thesis, we 
      first study the potential reduction in computation time for a mobile 
      device application that offloads part or all of its execution to 
      remote resources, such as a tablet, a laptop, a desktop, or a 
      private/public cloud. Second, we apply the actor model of concurrent 
      computation to reconfigure a distributed application from the mobile 
      device to the cloud. Specifically, we use the SALSA actor programming 
      language, which allows developers to easily create computationally 
      intensive applications that can be broken apart and migrated to 
      various computational resources. Since SALSA programs compile down to 
      Java byte code, we can readily run them in the Android Operating 
      System through an extension to the SALSA language. Lastly, we aim for 
      a separation of concerns by specifying policies that govern when and 
      where to move actors, separately from the functional application 
      code. Using our Mobile Cloud Computing using Actors (MobileCCA) 
      approach, as applied to a face recognition task, we observed speedups 
      on average of ~5x in the private cloud with respect to doing the 
      computation on the mobile device. Furthermore, we were able to 
      perform the face recognition task on a database of 1000 faces for 400 
      people, a task beyond the resource capabilities of the mobile device 
      alone. MobileCCA therefore illustrates not only the potential to 
      speedup computations in mobile devices and save battery, but also to 
      enhance the power of mobile applications.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, concurrent programming},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/pratikpatel-master.pdf}
}

@BOOK{varela-pdcs-mitpress-2013,
   OPTADDRESS   = {},
   AUTHOR       = {Carlos A. Varela},
   OPTEDITION   = {},
   MONTH        = {May},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   PAGES        = {314pp},
   PUBLISHER    = {MIT Press},
   OPTSERIES    = {},
   TITLE        = {Programming Distributed Computing Systems: A 
      Foundational Approach},
   OPTVOLUME    = {},
   YEAR         = {2013},
   OPTABSTRACT  = {},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {concurrent programming, distributed computing, 
      cyber physical systems},
   URL          = {http://wcl.cs.rpi.edu/pdcs},
   OPTURL-PUBLISHER = {}
}

@ARTICLE{newby-sagittarius-aj-2013,
   AUTHOR       = {Matthew Newby and Nathan Cole and Heidi Jo Newberg and 
      Travis Desell and Malik Magdon-Ismail and Boleslaw Szymanski and 
      Carlos Varela and Benjamin Willett and Brian Yanny},
   JOURNAL      = {The Astronomical Journal},
   MONTH        = {May},
   OPTNOTE      = {},
   NUMBER       = {163},
   OPTPAGES     = {},
   TITLE        = {A Spatial Characterization of the Sagittarius Dwarf 
      Galaxy Tidal Tails},
   VOLUME       = {145},
   YEAR         = {2013},
   ABSTRACT     = {We measure the spatial density of F turnoff stars in the 
      Sagittarius dwarf tidal stream, from Sloan Digital Sky Survey data, 
      using statistical photometric parallax. We find a set of continuous, 
      consistent parameters that describe the leading Sgr stream's 
      position, direction, and width for 15 stripes in the north Galactic 
      cap, and three stripes in the south Galactic cap. We produce a 
      catalog of stars that has the density characteristics of the dominant 
      leading Sgr tidal stream that can be compared with simulations. We 
      find that the width of the leading (north) tidal tail is consistent 
      with recent triaxial and axisymmetric halo model simulations. The 
      density along the stream is roughly consistent with common disruption 
      models in the north, but possibly not in the south. We explore the 
      possibility that one or more of the dominant Sgr streams has been 
      misidentified, and that one or more of the "bifurcated" pieces is the 
      real Sgr tidal tail, but we do not reach definite conclusions. If two 
      dwarf progenitors are assumed, fits to the planes of the dominant and 
      "bifurcated" tidal tails favor an association of the Sgr dwarf 
      spheroidal galaxy with the dominant southern stream and the 
      "bifurcated" stream in the north. In the north Galactic cap, the best 
      fit Hernquist density profile for the smooth component of the stellar 
      halo is oblate, with a flattening parameter q = 0.53, and a scale 
      length of r 0 = 6.73. The southern data for both the tidal debris and 
      the smooth component of the stellar halo do not match the model fits 
      to the north, although the stellar halo is still overwhelmingly 
      oblate. Finally, we verify that we can reproduce the parameter fits 
      on the asynchronous MilkyWay@home volunteer computing platform.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {scientific computing, distributed computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {}
}

@INPROCEEDINGS{imai-chestna-varela-ucc-2013,
   ADDRESS      = {Dresden, Germany},
   AUTHOR       = {Shigeru Imai and Thomas Chestna and Carlos A. Varela},
   BOOKTITLE    = {6th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2013)},
   OPTEDITOR    = {},
   MONTH        = {December},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Accurate Resource Prediction for Hybrid IaaS Clouds 
      Using Workload-Tailored Elastic Compute Units},
   OPTVOLUME    = {},
   YEAR         = {2013},
   ABSTRACT     = {Cloud computing's pay-per-use model greatly reduces 
      upfront cost and also enables on-demand scalability as service demand 
      grows or shrinks. Hybrid clouds are an attractive option in terms of 
      cost benefit, however, without proper elastic resource management, 
      computational resources could be over-provisioned or 
      under-provisioned, resulting in wasting money or failing to satisfy 
      service demand. In this paper, to accomplish accurate performance 
      prediction and cost-optimal resource management for hybrid clouds, we 
      introduce Workload-tailored Elastic Compute Units (WECU) as a measure 
      of computing resources analogous to Amazon EC2's ECUs, but customized 
      for a specific workload. We present a dynamic programming-based 
      scheduling algorithm to select a combination of private and public 
      resources which satisfy a desired throughput. Using a loosely-coupled 
      benchmark, we confirmed WECUs have 24 (J\% better runtime prediction 
      ability than ECUs on average. Moreover, simulation results with a 
      real workload distribution of web service requests show that our 
      WECU-based algorithm reduces costs by 8-31\% compared to a fixed 
      provisioning approach.)},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, distributed systems, 
      cloud computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/ucc2013.pdf}
}

@INPROCEEDINGS{imai-klockr-varela-bdse-2013,
   ADDRESS      = {Sydney, Australia},
   AUTHOR       = {Shigeru Imai and Richard Klockowski and Carlos A. Varela},
   BOOKTITLE    = {2nd International Conference on Big Data Science and Engineering (BDSE 2013)},
   OPTEDITOR    = {},
   MONTH        = {December},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Self-Healing Spatio-Temporal Data Streams Using Error 
      Signatures},
   OPTVOLUME    = {},
   YEAR         = {2013},
   ABSTRACT     = {Self-healing spatio-temporal data streaming systems 
      enable error detection and data correction based on error signatures. 
      Error signatures are mathematical function patterns with constraints 
      and are used to identify and categorize errors in redundant 
      spatio-temporal data streams. In this paper, we apply these methods 
      to real data from a private Cessna flight and from the Air France 
      AF447 accident in June 2009. For the private Cessna flight, three 
      error scenarios are simulated: pitot tube failure, GPS failure, and 
      simultaneous pitot tube and GPS failures. The error detection 
      accuracy is approximately 93% and the response time to correct data 
      is at most 5 seconds. For the AF447 flight, 162 seconds of available 
      flight data including the pitot tubes failure is collected from the 
      accident report. The pitot tube failure of the AF447 flight is 
      successfully detected and corrected after 5 seconds from the 
      beginning of the failure. Overall error mode detection accuracy 
      reaches 96.31%.Furthermore, our simulations show that the system 
      never corrects data incorrectly, i.e., all inaccurate mode detections 
      produce either unknown or unrecoverable errors.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {programming languages, data streaming, 
      cyber physical systems},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/bdse2013.pdf}
}

@INPROCEEDINGS{klockr-errorsignatures-dddas-2013,
   OPTADDRESS   = {},
   AUTHOR       = {Richard S. Klockowski and Shigeru Imai and Colin Rice and 
      Carlos A. Varela},
   BOOKTITLE    = {Proceedings of the International Conference on Computational Science (ICCS 2013). Dynamic Data-Driven Application Systems (DDDAS 2013) Workshop},
   OPTEDITOR    = {},
   INSTITUTION  = {Rensselaer Polytechnic Institute Worldwide Computing Laboratory},
   MONTH        = {May},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {2036-2045},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Autonomous Data Error Detection and Recovery in 
      Streaming Applications},
   OPTVOLUME    = {},
   YEAR         = {2013},
   ABSTRACT     = {Detecting and recovering from errors in data streams is 
      paramount to developing successful autonomous real-time streaming 
      applications. In this paper, we devise a multi-modal data error 
      detection and recovery architecture to enable automated recovery from 
      data errors in streaming applications based on available redundancy. 
      We formally define error signatures as a way to identify classes of 
      abnormal conditions and mode likelihood vectors as a quantitative 
      discriminator of data stream condition modes. Finally, we design an 
      extension to our own declarative programming language, PILOTS, to 
      include error correction code. We define performance metrics for our 
      approach, and evaluate the impact of monitored data window size and 
      mode likelihood change threshold on the accuracy and responsiveness 
      of our data-driven multi-modal error detection and correction 
      software. Tragic accidentsâsuch as Air France's flight from Rio de 
      Janeiro to Paris in June 2009 killing all people on boardâ can be 
      prevented by implementing auto-pilot systems with an airspeed data 
      stream error detection and correction algorithm following the 
      fundamental principles illustrated in this work.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {programming languages, data streaming, 
      cyber physical systems},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/dddas2013.pdf}
}

@INPROCEEDINGS{musser-varela-agere-2013,
   ADDRESS      = {New York, NY, USA},
   AUTHOR       = {David R. Musser and Carlos A. Varela},
   BOOKTITLE    = {Proceedings of the 2013 Workshop on Programming Based on Actors, Agents, and Decentralized Control},
   OPTEDITOR    = {},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {37--48},
   PUBLISHER    = {ACM},
   SERIES       = {AGERE! 2013},
   TITLE        = {Structured Reasoning About Actor Systems},
   OPTVOLUME    = {},
   YEAR         = {2013},
   ABSTRACT     = {The actor model of distributed computing imposes 
      important restrictions on concurrent computations in order to be 
      valid. In particular, an actor language implementation must provide 
      fairness, the property that if a system transition is infinitely 
      often enabled, the transition must eventually happen. Fairness is 
      fundamental to proving progress properties. We show that many 
      properties of actor computation can be expressed and proved at an 
      abstract level, independently of the details of a particular system 
      of actors. As in abstract algebra, we formulate and prove theorems at 
      the most abstract level possible, so that they can be applied at all 
      more refined levels of the theory hierarchy. Our most useful 
      abstract-level theorems concern persistence of actors, conditional 
      persistence of messages, preservation of unique actor identifiers, 
      monotonicity properties of actor local states, guaranteed message 
      delivery, and general consequences of fairness. We apply the general 
      actor theory to a concrete ticker and clock actor system, proving 
      several system-specific properties, including conditional invariants 
      and a progress theorem. We develop our framework within the Athena 
      proof system, in which proofs are both human-readable and 
      machine-checkable, taking advantage of it library of algebraic and 
      relational theories.},
   DOI          = {10.1145/2541329.2541334},
   ISBN         = {978-1-4503-2602-5},
   OPTISSN      = {},
   KEYWORDS     = {programming languages, actor model, 
      concurrent programming, formal verification},
   URL          = {http://doi.acm.org/10.1145/2541329.2541334},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/agere-paper.pdf}
}

@PROCEEDINGS{varela-ucc-2012,
   OPTADDRESS   = {},
   BOOKTITLE    = {UCC 2012 Conference Proceedings},
   EDITOR       = {Carlos A. Varela and Manish Parashar and Gul Agha},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PUBLISHER    = {IEEE},
   OPTSERIES    = {},
   TITLE        = {5th IEEE/ACM International Conference on Utility and 
      Cloud Computing, UCC 2012, Chicago, IL, USA, November 5-8, 2012},
   OPTVOLUME    = {},
   YEAR         = {2012},
   OPTABSTRACT  = {},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, cloud computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {}
}

@INPROCEEDINGS{imai-chestna-varela-ucc-2012,
   ADDRESS      = {Chicago, Illinois, USA},
   AUTHOR       = {Shigeru Imai and Thomas Chestna and Carlos A. Varela},
   BOOKTITLE    = {5th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2012)},
   OPTEDITOR    = {},
   MONTH        = {November},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Elastic Scalable Cloud Computing Using Application-Level 
      Migration},
   OPTVOLUME    = {},
   YEAR         = {2012},
   ABSTRACT     = {We present the Cloud Operating System (COS), a 
      middleware framework to support autonomous workload elasticity and 
      scalability based on application-level migration as a reconfiguration 
      strategy. While other scalable frameworks (e.g., MapReduce or Google 
      App Engine) force application developers to write programs following 
      specific APIs, COS provides scalability in a general-purpose 
      programming framework based on an actor-oriented programming 
      language. When all executing VMs are highly utilized, COS scales a 
      workload up by migrating mobile actors over to newly dynamically 
      created VMs. When VM utilization drops, COS scales the workload down 
      by consolidating actors and terminating idle VMs. Application-level 
      migration is advantageous compared to VM migration especially in 
      hybrid clouds in which migration costs over the Internet are critical 
      to scale out the workloads. We demonstrate the general purpose 
      programming approach using a tightly-coupled computation. We compare 
      the performance of autonomous (i.e., COS-driven) versus ideal 
      reconfiguration, as well as the impact of granularity of 
      reconfiguration, i.e., VM migration versus application-level 
      migration. Our results show promise for future fully automated cloud 
      computing resource management systems that efficiently enable truly 
      elastic and scalable general-purpose workloads.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, distributed systems, 
      cloud computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/ucc2012.pdf}
}

@INPROCEEDINGS{imai-varela-pilots-dddas-2012,
   ADDRESS      = {Omaha, Nebraska},
   AUTHOR       = {Shigeru Imai and Carlos A. Varela},
   BOOKTITLE    = {Dynamic Data-Driven Application Systems (DDDAS 2012)},
   OPTEDITOR    = {},
   MONTH        = {June},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {1139-1148},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {A Programming Model for Spatio-Temporal Data Streaming 
      Applications},
   OPTVOLUME    = {},
   YEAR         = {2012},
   ABSTRACT     = {In this paper, we describe a programming model to enable 
      reasoning about spatio-temporal data streams. A spatio-temporal data 
      stream is one where each datum is related to a point in space and 
      time. For example, sensors in a plane record airspeeds (va) during a 
      given ïŹight. Similarly, GPS units record an airplane's ïŹight path 
      over the ground including ground speeds (vg) at different locations. 
      An aircraft's airspeed and ground speed are related by the following 
      mathematical formula:, where va and Î±a are the aircraft airspeed and 
      heading, and vw and Î±w are the wind speed and direction. Wind speeds 
      and directions are typically forecast in 3,000-foot height intervals 
      over discretely located ïŹx points in 6-12 hour ranges. Modeling the 
      relationship between these spatio-temporal data streams allows us to 
      estimate with high probability the likelihood of sensor failures and 
      consequent erroneous data. Tragic airplane accidents (such as Air 
      France's Flight 447 on June 1st, 2009 killing all 216 passengers and 
      12 aircrew aboard) could have been avoided by giving pilots better 
      information which can be derived from inferring stochastic knowledge 
      about spatio-temporal data streams. This work is a ïŹrst step in 
      this direction},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {programming languages, cyber physical systems, 
      data streaming},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/dddas2012.pdf}
}

@INPROCEEDINGS{imai-varela-quest-2012,
   ADDRESS      = {Redondo Beach, California, USA},
   AUTHOR       = {Shigeru Imai and Carlos A. Varela},
   BOOKTITLE    = {3rd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data (QUeST) 2012},
   OPTEDITOR    = {},
   MONTH        = {November},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Programming Spatio-Temporal Data Streaming Applications 
      with High-Level Specifications},
   OPTVOLUME    = {},
   YEAR         = {2012},
   ABSTRACT     = {In this paper, we describe the design and implementation 
      of PILOTS, a ProgrammIng Language for spatiO-Temporal data Streaming 
      applications. Using PILOTS, application developers can easily program 
      an application that handles spatio-temporal data streams by writing a 
      high-level declarative program specification. Whereas spatio-temporal 
      data is available with various spatial density and time frequency 
      depending on data sources (e.g., weather forecast data can be given 
      hourly/-daily for a vast geographic area, while GPS data can be given 
      every second or at a higher frequency for a specific geographic 
      location), applications often need to process data at a constant 
      frequency. To view such heterogeneous data streams as homogeneous 
      data streams, PILOTS specifically provides first-class support for 
      data selection and interpolation so that applications can get data 
      consistently regardless of the data's original spatio-temporal 
      heterogeneity. To enable reasoning about errors in correlated 
      spatio-temporal data streams, we introduce the notion of error 
      signatures, patterns in output data streams that appear when input 
      data is erroneous. These patterns are produced thanks to a 
      mathematical model that explicitly specifies the redundancy exhibited 
      in the input data. PILOTS applications readily produce error 
      signatures, which can be an important tool to semi-automatically 
      detect data error conditions and enable better decision support 
      systems. As a motivating application, we illustrate a PILOTS program 
      that receives as input data: the airspeed, the ground speed, and the 
      wind speed for a flight. We then compute the error signatures 
      exhibited by failing the airspeed data stream simulating a pitot tube 
      icing scenario (such as the one occurring in Air France flight 447 in 
      June 2009 ultimately killing all people onboard), and by failing the 
      ground speed data stream simulating a GPS constellation shutdown.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {programming languages, cyber physical systems, 
      data streaming},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/quest2012.pdf}
}

@TECHREPORT{musser-varela-abstreasoning-2012,
   OPTADDRESS   = {},
   AUTHOR       = {David Musser and Carlos A. Varela},
   INSTITUTION  = {Rensselaer Polytechnic Institute Department of Computer Science},
   OPTMONTH     = {},
   OPTNOTE      = {},
   NUMBER       = {12-01},
   TITLE        = {Human-Readable Machine-Checkable Abstract Reasoning 
      about Actor Systems},
   OPTTYPE      = {},
   YEAR         = {2012},
   ABSTRACT     = {The actor model of distributed computing imposes 
      important restrictions on valid concurrent computations including 
      fairness. We show that many properties of the model can be expressed 
      and proved at an abstract level, independently of the details of a 
      particular system of actors, in a logical framework in which proofs 
      are both human-readable and machine-checkable. The framework, Athena, 
      is briefly overviewed, with emphasis on its support for abstraction 
      and specialization. A key contribution is the conceptual organization 
      we develop: a richly structured hierarchy of formal theories that can 
      be used to represent and reason about actor systems. Within this 
      conceptual framework, we identify and prove a number of useful 
      abstract-level theorems, including persistence of actors, 
      preservation of unique actor identifiers, and general consequences of 
      fairness. We also combine the general actor theory with a concrete 
      ticker and clock actor system to prove several system-specific 
      properties, including a progress theorem that depends on fairness.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {actor model, concurrent programming, 
      formal verification},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/b6.pdf}
}

@MASTERSTHESIS{imais-taskoffloading-2012,
   OPTADDRESS   = {},
   AUTHOR       = {Shigeru Imai},
   MONTH        = {May},
   OPTNOTE      = {},
   SCHOOL       = {Rensselaer Polytechnic Institute},
   TITLE        = {Task Offloading between Smartphones and Distributed 
      Computational Resources},
   OPTTYPE      = {},
   YEAR         = {2012},
   ABSTRACT     = {Smartphones have become very popular. While people enjoy 
      various kinds of applications, some computation-intensive 
      applications cannot be run on the smartphones since their computing 
      power and battery life are still limited. We tackle this problem from 
      two categories of applications. Applications in the first category 
      are single-purpose and moderately slow (more than 10 seconds) to 
      process on a single smartphone, but can be processed reasonably 
      quickly by offloading a single module to a single computer (e.g., a 
      face detection application). Applications in the second category are 
      extremely slow (a few minutes to hours) to process on a single 
      smartphone, but their execution time can be dramatically reduced by 
      offloading computationally heavy modules to multiple computers (e.g., 
      a face recognition application). In this category of applications, 
      management of the server-side computation becomes more important 
      since the intensity of computation is much stronger than in the first 
      category. For the first category, we propose a light-weight task 
      offloading method using runtime profiling, which predicts the total 
      processing time based on a simple linear model and offloads a single 
      task to a single server depending on the current performance of the 
      network and server. Since this modelâs simplicity greatly reduces 
      the profiling cost at run-time, it enables users to start using an 
      application without pre-computing a performance profile. Using our 
      method, the performance of face detection for an image of 1.2 Mbytes 
      improved from 19 seconds to 4 seconds. For the second category, we 
      present a middleware framework called the Cloud Operating System 
      (COS) as a back-end technology for smartphones. COS implements the 
      notion of virtual machine (VM) malleability to enable cloud computing 
      applications to effectively scale up and down. Through VM 
      malleability, virtual machines can change their granularity by using 
      split and merge operations. We accomplish VM malleability efficiently 
      by using application-level migration as a reconfiguration strategy. 
      Our experiments with a tightly-coupled computation show that a 
      completely application-agnostic automated load balancer performs 
      almost the same as human-driven VM-level migration; however, 
      human-driven application-level migration outperforms (by 14% in our 
      experiments) human-driven VM-level migration. These results are 
      promising for future fully automated cloud computing resource 
      management systems that efficiently enable truly elastic and scalable 
      workloads.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, mobile computing, 
      cloud computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/imai-master.pdf}
}

@PROCEEDINGS{varela-ccgrid-2011,
   OPTADDRESS   = {},
   BOOKTITLE    = {CCGRID},
   EDITOR       = {Carlos A. Varela and Nalini Venkatasubramanian and 
      Rajkumar Buyya},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PUBLISHER    = {IEEE},
   OPTSERIES    = {},
   TITLE        = {11th IEEE/ACM International Symposium on Cluster, Cloud 
      and Grid Computing, CCGrid 2011, Newport Beach, CA, USA, May 23-26, 
      2011},
   OPTVOLUME    = {},
   YEAR         = {2011},
   OPTABSTRACT  = {},
   OPTDOI       = {},
   ISBN         = {978-0-7695-4395-6},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, cloud computing},
   URL          = {http://www.informatik.uni-trier.de/~ley/db/conf/ccgrid/ccgrid2011.html},
   OPTURL-PUBLISHER = {}
}

@ARTICLE{netto-jpdc2011,
   AUTHOR       = {Marco A.S. Netto and Christian Vecchiola and 
      Michael Kirley and Carlos A. Varela and Rajkumar Buyya},
   JOURNAL      = {Journal of Parallel and Distributed Computing},
   OPTMONTH     = {},
   OPTNOTE      = {},
   NUMBER       = {10},
   PAGES        = {1388 - 1399},
   TITLE        = {Use of run time predictions for automatic co-allocation 
      of multi-cluster resources for iterative parallel applications},
   VOLUME       = {71},
   YEAR         = {2011},
   ABSTRACT     = {Metaschedulers co-allocate resources by requesting a 
      fixed number of processors and usage time for each cluster. These 
      static requests, defined by users, limit the initial scheduling and 
      prevent rescheduling of applications to other resource sets. It is 
      also difficult for users to estimate application execution times, 
      especially on heterogeneous environments. To overcome these problems, 
      metaschedulers can use performance predictions for automatic resource 
      selection. This paper proposes a resource co-allocation technique 
      with rescheduling support based on performance predictions for 
      multi-cluster iterative parallel applications. Iterative applications 
      have been used to solve a variety of problems in science and 
      engineering, including large-scale computations based on the 
      asynchronous model more recently. We performed experiments using an 
      iterative parallel application, which consists of benchmark 
      multiobjective problems, with both synchronous and asynchronous 
      communication models on Gridâ5000. The results show run time 
      predictions with an average error of 7\% and prevention of up to 35\% 
      and 57\% of run time overestimations to support rescheduling for 
      synchronous and asynchronous models, respectively. The performance 
      predictions require no application source code access. One of the 
      main findings is that as the asynchronous model masks communication 
      and computation, it requires no network information to predict 
      execution times. By using our co-allocation technique, metaschedulers 
      become responsible for run time predictions, process mapping, and 
      application rescheduling; releasing the user from these burden tasks.},
   DOI          = {https://doi.org/10.1016/j.jpdc.2011.05.007},
   OPTISBN      = {},
   ISSN         = {0743-7315},
   KEYWORDS     = {concurrent programming, middleware, grid computing},
   URL          = {http://www.sciencedirect.com/science/article/pii/S0743731511001031},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/netto2011.pdf}
}

@ARTICLE{guevara-clei2011,
   ADDRESS      = {AsunciÂšÂźn, Paraguay},
   AUTHOR       = {Gustavo A. Guevara S. and Travis Desell and 
      Jason Laporte and Carlos A. Varela},
   JOURNAL      = {CLEI Electronic Journal},
   MONTH        = {April},
   NOTE         = {Best papers from CLEI 2010},
   OPTNUMBER    = {},
   PAGES        = {1-17},
   TITLE        = {Modular Visualization of Distributed Systems},
   VOLUME       = {14},
   YEAR         = {2011},
   ABSTRACT     = {Effective visualization is critical to developing, 
      analyzing, and optimizing distributed systems. We have developed 
      OverView, a tool for online/offline distributed systems 
      visualization, that enables modular layout mechanisms, so that 
      different distributed system high-level programming abstractions such 
      as actors or processes can be visualized in intuitive ways. OverView 
      uses by default a hierarchical concentric layout that distinguishes 
      entities from containers allowing migration patterns triggered by 
      adaptive middleware to be visualized. In this paper, we develop a 
      force-directed layout strategy that connects entities according to 
      their communication patterns in order to directly exhibit the 
      application communication topologies. In force-directed 
      visualization, entitiesâ locations are encoded with different 
      colors to illustrate load balancing. We compare these layouts using 
      quantitative metrics including communication to entity ratio, applied 
      on common distributed application topologies. We conclude that 
      modular visualization is necessary to effectively visualize 
      distributed systems since no one layout is best for all applications.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, 
      distributed systems visualization, network topologies},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/guevara2011.pdf}
}

@INPROCEEDINGS{desell-cise-2011,
   ADDRESS      = {Wuhan, China},
   AUTHOR       = {Travis Desell and Malik Magdon-Ismail and Heidi Newberg and 
      Lee A. Newberg and Boleslaw K. Szymanski and Carlos A. Varela},
   BOOKTITLE    = {International Conference on Computational Intelligence and Software Engineering (CiSE)},
   OPTEDITOR    = {},
   MONTH        = {December},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {A Robust Asynchronous Newton Method for Massive Scale 
      Computing Systems},
   OPTVOLUME    = {},
   YEAR         = {2011},
   ABSTRACT     = {Volunteer computing grids offer super-computing levels 
      of computing power at the relatively low cost of operating a server. 
      In previous work, the authors have shown that it is possible to take 
      traditionally iterative evolutionary algorithms and execute them on 
      volunteer computing grids by performing them asynchronously. The 
      asynchronous implementations dramatically increase scalability and 
      decrease the time taken to converge to a solution. Iterative and 
      asynchronous optimization algorithms implemented using MPI on 
      clusters and supercomputers, and BOINC on volunteer computing grids 
      have been packaged together in a framework for generic distributed 
      optimization (FGDO). This paper presents a new extension to FGDO for 
      an asynchronous Newton method (ANM) for local optimization. ANM is 
      resilient to heterogeneous, faulty and unreliable computing nodes and 
      is extremely scalable. Preliminary results show that it can converge 
      to a local optimum significantly faster than conjugate gradient 
      descent does. },
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, distributed systems, 
      scientific computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/cise2011.pdf}
}

@INPROCEEDINGS{desell-pcgrid2011,
   OPTADDRESS   = {},
   AUTHOR       = {Travis Desell and Benjamin A. Willet and 
      Matthew Arsenault and Heidi Newberg and Malik Magdon-Ismail and 
      Boleslaw Szymanski and Carlos A. Varela},
   BOOKTITLE    = {IPDPS'11 Fifth Workshop on Desktop Grids and Volunteer Computing Systems (PCGrid 2011)},
   OPTEDITOR    = {},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Evolving N-Body Simulations to Determine the Origin and 
      Structure of the Milky Way Galaxy's Halo using Volunteer Computing},
   OPTVOLUME    = {},
   YEAR         = {2011},
   ABSTRACT     = {This work describes research done by the MilkyWay@Home 
      project to use N-Body simulations to model the formation of the Milky 
      Way Galaxy's halo. While there have been previous efforts to use 
      N-Body simulations to perform astronomical modeling, to our knowledge 
      this is the first to use evolutionary algorithms to discover the 
      initial parameters to the N-Body simulations so that they accurately 
      model astronomical data. Performing a single 32,000 body simulation 
      can take up to 200 hours on a typical processor, with an average of 
      15 hours. As optimizing the input parameters to these N-Body 
      simulations typically takes at least 30,000 or more simulations, this 
      work is made possible by utilizing the computing power of the 35,000 
      volunteered hosts at the MilkyWay@Home project, which are currently 
      providing around 800 teraFLOPS. This work also describes improvements 
      to an open-source framework for generic distributed optimization 
      (FGDO), which provide more efficient validation in performing these 
      evolutionary algorithms in conjunction the Berkeley Open 
      Infrastructure for Network Computing (BOINC).},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, scientific computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/desell2011.pdf}
}

@INPROCEEDINGS{imai-varela-iphone-racs-2011,
   ADDRESS      = {Miami, Florida},
   AUTHOR       = {Shigeru Imai and Carlos A. Varela},
   BOOKTITLE    = {Research in Applied Computation Symposium (RACS 2011)},
   OPTEDITOR    = {},
   MONTH        = {November},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Light-Weight Adaptive Task Offloading from Smartphones 
      to Nearby Computational Resources},
   OPTVOLUME    = {},
   YEAR         = {2011},
   ABSTRACT     = {Applications on smartphones are extremely popular as 
      users can download and install them very easily from a service 
      provider's application repository. Most of the applications are 
      thoroughly tested and verified on a target smartphone platform; 
      however, some applications could be very computationally intensive 
      and overload the smartphone's resource capability. In this paper, we 
      describe a method to predict the total processing time when 
      offloading part of an application from smartphones to nearby servers. 
      In our method, if an application developercan (1) define a basic 
      model of the problem (e. g., f(x) = ax+b) and (2) implement an 
      algorithm to update the model (e. g., least squares method), the 
      application quickly adjusts the parameters of the model and minimizes 
      the difference between predicted and measured performance adaptively. 
      This accurate prediction helps dynamically determine whether or not 
      it is worth offloading tasks and the expected performance 
      improvement. Since this model's simplicity greatly reduces the time 
      required for profiling the performance of the application at 
      run-time, it enables users to start using an application without 
      pre-computing a performance profile. Our experiments show that our 
      update parameter protocol for the performance prediction functions 
      works sufficiently well for a face detection problem. The protocol 
      requires on average 7.8 trials to update prediction parameters, and 
      the prediction error stays less than 10% for the rest of the trials. 
      By offloading the face detection task to a nearby server for an image 
      of 1.2Mbytes, the performance improved from 19 seconds to 4 seconds. 
      This research opens up the possibility of new applications in 
      real-time smartphone data processing by harnessing nearby 
      computational resources.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, distributed systems},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/racs2011.pdf}
}

@INPROCEEDINGS{wang-varela-ucc-2011,
   ADDRESS      = {Melbourne, Australia},
   AUTHOR       = {Qingling Wang and Carlos A. Varela},
   BOOKTITLE    = {4th IEEE/ACM International Conference on Utility and Cloud Computing(UCC 2011)},
   OPTEDITOR    = {},
   MONTH        = {December},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Impact of Cloud Computing Virtualization Strategies on 
      Workloads' Performance},
   OPTVOLUME    = {},
   YEAR         = {2011},
   ABSTRACT     = {Cloud computing brings significant benefits for service 
      providers and users because of its characteristics: \emph{e.g.}, on 
      demand, pay for use, scalable computing. Virtualization management is 
      a critical task to accomplish effective sharing of physical resources 
      and scalability. Existing research focuses on live Virtual Machine 
      (VM) migration as a workload consolidation strategy. However, the 
      impact of other virtual network configuration strategies, such as 
      optimizing total number of VMs for a given workload, the number of 
      virtual CPUs (vCPUs) per VM, and the memory size of each VM has been 
      less studied. This paper presents specific performance patterns on 
      different workloads for various virtual network configuration 
      strategies. For loosely coupled CPU-intensive workloads, on an 8-CPU 
      machine, with memory size varying from 512MB to 4096MB and vCPUs 
      ranging from 1 to 16 per VM, 1, 2, 4, 8 and 16VMs configurations have 
      similar running time. The prerequisite of this conclusion is that all 
      8 physical processors are occupied by vCPUs. For tightly coupled 
      CPU-intensive workloads, the total number of VMs, vCPUs per VM, and 
      memory allocated per VM, become critical for performance. We obtained 
      the best performance when the ratio of the total number of vCPUs to 
      processors is 2. Doubling the memory size on each VM, for example 
      from 1024MB to 2048MB, gave us at most 15% improvement of performance 
      when the ratio of total vCPUs to physical processors is 2. This 
      research will help private cloud administrators decide how to 
      configure virtual resources for given workloads to optimize 
      performance. It will also help public cloud providers know where to 
      place VMs and when to consolidate workloads to be able to turn on/off 
      Physical Machines (PMs), thereby saving energy and associated cost. 
      Finally it helps cloud service users decide what kind of and how many 
      VM instances to allocate for a given workload and a given budget.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, distributed systems, 
      cloud computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/ucc2011.pdf}
}

@MASTERSTHESIS{wang-autonomousreconfiguration-2011,
   OPTADDRESS   = {},
   AUTHOR       = {Qingling Wang},
   MONTH        = {August},
   OPTNOTE      = {},
   SCHOOL       = {Rensselaer Polytechnic Institute},
   TITLE        = {Middleware for Autonomous Reconfiguration of Virtual 
      Machines},
   OPTTYPE      = {},
   YEAR         = {2011},
   ABSTRACT     = {Cloud computing brings significant benefits for service 
      providers and service users because of its characteristics: e.g., on 
      demand, pay for use, scalable computing. Virtualization management is 
      a critical component to accomplish effective sharing of physical 
      resources and scalability. Existing research focuses on live Virtual 
      Machine (VM) migration as a VM consolidation strategy. However, the 
      impact of other virtual network configuration strategies, such as 
      optimizing total number of VMs for a given workload, the number of 
      virtual CPUs (vCPUs) per VM, and the memory size of each VM has been 
      less studied. This thesis presents specific performance patterns on 
      different workloads for various virtual network configuration 
      strategies. We conclude that, for loosely coupled CPU-intensive 
      workloads, memory size and number of vCPUs per VM do not have 
      significant performance effects. On an 8-CPU machine, with memory 
      size varying from 512MB to 4096MB and vCPUs ranging from 1 to 16 per 
      VM; 1, 2, 4, 8 and 16VM configurations have similar running time. The 
      prerequisite of this conclusion is that all 8 physical processors be 
      occupied by vCPUs. For tightly coupled CPU-intensive workloads, the 
      total number of VMs, vCPUs per VM and memory allocated per VM become 
      critical for performance. We obtained the best performance when the 
      ratio of total number of vCPUs to processors is 2. Doubling memory 
      size on each VM, for example from 1024MB to 2048MB, brings at most 
      15% improvement of performance when number of VMs is greater than 2. 
      Based on the experimental results, we propose a framework and a 
      threshold-based strategy set to dynamically refine virtualization 
      configurations. The framework mainly contains three parts: resources 
      monitor, virtual network configuration controller and scheduler, 
      which are responsible for monitoring resource usage on both virtual 
      and physical layers, controlling virtual resources distribution, and 
      scheduling concrete reconfiguration steps respectively. Our 
      reconfiguration approach consists of four strategies: VM migration 
      and VM malleability strategies, which are at global level, vCPU 
      tuning and memory ballooning, which are at local level. The 
      strategies evaluate and trigger specific reconfiguration steps (for 
      example, double the number of vCPUs on each VM) by comparing current 
      allocated resources and corresponding utilizations with expected 
      values. The evaluation experimental results of threshold-based 
      strategy show that reconfiguration in global level works better for 
      tightly coupled CPU-intensive workloads than for loosely coupled 
      ones. Local reconfiguration including dynamically changing number of 
      vCPUs and memory size allocated to VMs, improves the performance of 
      initially sub-optimal virtual network configurations, even though it 
      falls short of performing as well as the initially optimal virtual 
      network configurations. This research will help private cloud 
      administrators decide how to configure virtual resources for a given 
      workload to optimize performance. It will also help service providers 
      know where to place VMs and when to consolidate workloads to be able 
      to turn on/off Physical Machines (PMs), thereby saving energy and 
      associated costs. Finally it let service users know what kind of and 
      how many VM instances to allocate in a public cloud for a given 
      workload and budget.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, cloud computing, middleware},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/qinglingwang-master.pdf}
}

@MISC{varela-cloud-2011,
   AUTHOR       = {Carlos A. Varela},
   HOWPUBLISHED = {NSF Workshop on the Science of Cloud Computing, Arlington, Virginia, U.S.A., March 17-18, 2011.},
   MONTH        = {March},
   OPTNOTE      = {},
   TITLE        = {Flexible Software Technology for Scalable Cloud 
      Computing},
   YEAR         = {2011},
   OPTABSTRACT  = {},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, cloud computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://nsfcloud2011.cs.ucsb.edu/papers/Varela_Paper.pdf}
}

@INBOOK{cole-eas-on-milkyway-2010,
   OPTADDRESS   = {},
   AUTHOR       = {Nathan Cole and Travis Desell and 
      Daniel Lombranaa Gonzalez and de Vega, Francisco Fernandez and 
      Malik Magdon-Ismail and Heidi Newberg and and Boleslaw K. Szymanski and 
      Carlos A. Varela},
   CHAPTER      = {Evolutionary Algorithms on Volunteer Computing Platforms: The MilkyWay@Home Project},
   OPTEDITION   = {},
   EDITOR       = {de Vega, F. Fernandez and E. Cantu-Paz},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   PAGES        = {64--90},
   PUBLISHER    = {Springer-Verlag Berlin Heidelberg},
   OPTSERIES    = {},
   TITLE        = {Parallel and Computational Intelligence},
   OPTTYPE      = {},
   OPTVOLUME    = {},
   YEAR         = {2010},
   ABSTRACT     = {Evolutionary algorithms (EAs) require large scale 
      computing resources when tackling real world problems. Such 
      computational requirement is derived from inherently complex fitness 
      evaluation functions, large numbers of individuals per generation, 
      and the number of iterations required by EAs to converge to a 
      satisfactory solution. Therefore, any source of computing power can 
      significantly benefit researchers using evolutionary algorithms. We 
      present the use of volunteer computing (VC) as a platform for 
      harnessing the computing resources of commodity machines that are 
      nowadays present at homes, companies and institutions. Taking into 
      account that currently desktop machines feature significant computing 
      resources (dual cores, gigabytes of memory, gigabit network 
      connections, etc.), VC has become a cost-effective platform for 
      running time consuming evolutionary algorithms in order to solve 
      complex problems, such as finding substructure in the Milky Way 
      Galaxy, the problem we address in detail in this chapter.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, scientific computing, middleware, 
      grid computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/2010_pci.pdf}
}

@INPROCEEDINGS{desell-massively-distributed-eas-2010,
   ADDRESS      = {Barcelona, Spain},
   AUTHOR       = {Travis Desell and David P. Anderson and 
      Malik Magdon-Ismail and Heidi Newberg and Boleslaw Szymanski and 
      Carlos A. Varela},
   BOOKTITLE    = {Proceedings of the 2010 International Conference on Evolutionary Computation (IEEE CEC 2010)},
   OPTEDITOR    = {},
   MONTH        = {July},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {1--8},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {An Analysis of Massively Distributed Evolutionary 
      Algorithms},
   OPTVOLUME    = {},
   YEAR         = {2010},
   ABSTRACT     = {Computational science is placing new demands on 
      optimization algorithms as the size of data sets and the 
      computational complexity of scientific models continue to increase. 
      As these complex models have many local minima, evolutionary 
      algorithms (EAs) are very useful for quickly finding optimal 
      solutions in these challenging search spaces. In addition to the 
      complex search spaces involved, calculating the objective function 
      can be extremely demanding computationally. Because of this, 
      distributed computation is a necessity. In order to address these 
      computational demands, top-end distributed computing systems are 
      surpassing hundreds of thousands of computing hosts; and as in the 
      case of Internet based volunteer computing systems, they can also be 
      highly heterogeneous and faulty. This work examines asynchronous 
      strategies for distributed EAs using simulated computing 
      environments. Results show that asynchronous EAs can scale to 
      hundreds of thousands of computing hosts while being highly resilient 
      to heterogeneous and faulty computing environments, something not 
      possible for traditional distributed EAs which require 
      synchronization. While the simulation not only provides insight as to 
      how asynchronous EAs perform on distributed computing environments 
      with different latencies and heterogeneity, it also serves as a 
      sanity check because live distributed systems require problems with 
      high computation to communication ratios and traditional benchmark 
      problems cannot be used for meaningful analysis due to their short 
      computation times.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, evolutionary algorithms, 
      volunteer computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/2010_cec.pdf}
}

@INPROCEEDINGS{desell-validating-eas-2010,
   ADDRESS      = {Amsterdam, Netherlands},
   AUTHOR       = {Travis Desell and Malik Magdon-Ismail and 
      Boleslaw Szymanski and Carlos A. Varela and Heidi Newberg and 
      David P. Anderson},
   BOOKTITLE    = {Proceedings of the 10th International Conference on Distributed Applications and Interoperable Systems},
   OPTEDITOR    = {},
   MONTH        = {June},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {29--41},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Validating Evolutionary Algorithms on Volunteer 
      Computing Grids},
   OPTVOLUME    = {},
   YEAR         = {2010},
   ABSTRACT     = {Computational science is placing new demands on 
      distributed computing systems as the rate of data acquisition is far 
      outpacing the improvements in processor speed. Evolutionary 
      algorithms provide efficient means of optimizing the increasingly 
      complex models required by different scientific projects, which can 
      have very complex search spaces with many local minima. This work 
      describes different validation strategies used by MilkyWay@Home, a 
      volunteer computing project created to address the extreme 
      computational demands of 3-dimensionally modeling the Milky Way 
      galaxy, which currently consists of over 27,000 highly heterogeneous 
      and volatile computing hosts, which provide a combined computing 
      power of over 1.55 petaflops. The validation strategies presented 
      form a foundation for efficiently validating evolutionary algorithms 
      on unreliable or even partially malicious computing systems, and have 
      significantly reduced the time taken to obtain good fits of 
      MilkyWay@Homeâs astronomical models.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, evolutionary algorithms, 
      volunteer computing, validation, scientific computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/2010_dais.pdf}
}

@INPROCEEDINGS{guevara-dsvisualization-clei-2010,
   ADDRESS      = {Asunción, Paraguay},
   AUTHOR       = {Gustavo A. Guevara and Travis Desell and Jason LaPorte and 
      Carlos A. Varela},
   BOOKTITLE    = {XXXVI Conferencia Latinoamericana de Informática},
   OPTEDITOR    = {},
   MONTH        = {October},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Modular Visualization of Distributed Systems},
   OPTVOLUME    = {},
   YEAR         = {2010},
   ABSTRACT     = {Effective visualization is critical to developing, 
      analyzing, and optimizing distributed systems. We have developed 
      OverView, a tool for online/offline distributed systems 
      visualization, that enables modular layout mechanisms, so that 
      different distributed system high-level programming abstractions such 
      as actors or processes can be visualized in intuitive ways. OverView 
      uses by default a hierarchical concentric layout that distinguishes 
      entities from containers allowing migration patterns triggered by 
      adaptive middleware to be visualized. In this paper, we develop a 
      force-directed layout strategy that connects entities according to 
      their communication patterns in order to directly exhibit the 
      application communication topologies. In force-directed 
      visualization, entitiesâ locations are encoded with different 
      colors to illustrate load balancing. We compare these layouts using 
      quantitative metrics including communication to entity ratio, applied 
      on common distributed application topologies. We conclude that 
      modular visualization is necessary to effectively visualize 
      distributed systems since no one layout is best for all applications.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, 
      distributed systems visualization},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/clei2010dsv.pdf}
}

@INPROCEEDINGS{2010AAS...21541321V,
   OPTADDRESS   = {},
   AUTHOR       = {J. Vickers and H. Newberg and N. Cole and T. Desell and 
      B. Szymanski and M. Magdon-Ismail and C. Varela},
   BOOKTITLE    = {American Astronomical Society Meeting Abstracts #215},
   OPTEDITOR    = {},
   MONTH        = {January},
   NOTE         = {Provided by the SAO/NASA Astrophysics Data System},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {#413.21},
   OPTPUBLISHER = {},
   SERIES       = {Bulletin of the American Astronomical Society},
   TITLE        = {The Effect of Orientation in Cross Sectional Studies},
   VOLUME       = {42},
   YEAR         = {2010},
   ABSTRACT     = {Recent studies of the Milky Way halo have shown that 
      there are many tidal debris streams and other substructures that can 
      be detected from the spatial distributions of halo stars. We are 
      attempting to describe the spatial structure through maximum 
      likelihood fitting of a smoothly varying component plus a set of 
      additional components that describe the tidal debris. The Sagittarius 
      tidal debris stream in particular is modeled by a set of piecewise 
      linear cylinders with a density that falls of as a Gaussian from the 
      central axis of the cylinder. We show the highest likelihood fit to 
      the density of SDSS F turnoff stars along the Sagittarius stream, and 
      the results of a test of the sensitivity of the likelihood fits to 
      the angle between the stream direction and the angle at which the 
      data is sliced into pieces.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, astroinformatics},
   URL          = {http://adsabs.harvard.edu/abs/2010AAS...21541321V},
   OPTURL-PUBLISHER = {}
}

@INPROCEEDINGS{wangp-vmg-acs-2010,
   ADDRESS      = {Brussels, Belgium},
   AUTHOR       = {Ping Wang and Wei Huang and Carlos A. Varela},
   BOOKTITLE    = {Workshop on Autonomic Computational Science (ACS'2010)},
   OPTEDITOR    = {},
   MONTH        = {October},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {393-400},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Impact of Virtual Machine Granularity on Cloud Computing 
      Workloads Performance},
   OPTVOLUME    = {},
   YEAR         = {2010},
   ABSTRACT     = {This paper studies the impact of VM granularity on 
      workload performance in cloud computing environments. We use HPL as a 
      representative tightly coupled computational workload and a web 
      server providing content to customers as a representative loosely 
      coupled network intensive workload. The performance evaluation 
      demonstrates VM granularity has a significant impact on the 
      performance of the computational workload. On an 8-CPU machine, the 
      performance obtained from utilizing 8VMs is more than 4 times higher 
      than that given by 4 or 16 VMs for HPL of problem size 4096; whereas 
      on two machines with a total of 12 CPUs 24 VMs gives the best 
      performance for HPL of problem sizes from 256 to 1024. Our results 
      also indicate that the effect of VM granularity on the performance of 
      the web system is not critical. The largest standard deviation of the 
      transaction rates obtained from varying VM granularity is merely 2.89 
      with a mean value of 21.34. These observations suggest that VM 
      malleability strategies where VM granularity is changed dynamically, 
      can be used to improve the performance of tightly coupled 
      computational workloads, whereas VM consolidation for energy savings 
      can be more effectively applied to loosely coupled network intensive 
      workloads.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, cloud Computing, granularity, 
      malleability, performance, virtual machine},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/wangp-vmg-acs-2010.pdf}
}

@INPROCEEDINGS{wang-agc2010,
   ADDRESS      = {Bologna},
   AUTHOR       = {Wei-Jen Wang and Carlos Varela and Fu-Hau Hsu and 
      Cheng-Hsien Tang},
   BOOKTITLE    = {Advances in Grid and Pervasive Computing},
   OPTEDITOR    = {},
   MONTH        = {May},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {244--255},
   PUBLISHER    = {Springer Berlin / Heidelberg},
   SERIES       = {Lecture Notes in Computer Science},
   TITLE        = {Actor Garbage Collection Using Vertex-Preserving 
      Actor-to-Object Graph Transformations},
   VOLUME       = {6104},
   YEAR         = {2010},
   ABSTRACT     = {Large-scale distributed computing applications require 
      concurrent programming models that support modular and compositional 
      software development. The actor model supports the development of 
      independent software components with its asynchronous message-passing 
      communication and state encapsulation properties. Automatic actor 
      garbage collection is necessary for high-level actor-oriented 
      programming, but identifying live actors is not as intuitive and easy 
      as identifying live passive objects in a reference graph. However, a 
      transformation method can turn an actor reference graph into a 
      passive object reference graph, which enables the use of passive 
      object garbage collection algorithms and simplifies the problem of 
      actor garbage collection. In this paper, we formally define potential 
      communication by introducing two binary relations - the may-talk-to 
      and the may-transitively-talk-to relations, which are then used to 
      define the set of live actors. We also devise two vertex-preserving 
      transformation methods to transform an actor reference graph into a 
      passive object reference graph. We provide correctness proofs for the 
      proposed algorithms. The experimental results also show that the 
      proposed algorithms are efficient.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {concurrent programming, actor model, garbage collection, 
      internet programming languages},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/GPC10-1569275509.pdf}
}

@PHDTHESIS{desell-phd-2009,
   OPTADDRESS   = {},
   AUTHOR       = {Travis Desell},
   OPTMONTH     = {},
   OPTNOTE      = {},
   SCHOOL       = {Rensselaer Polytechnic Institute},
   TITLE        = {Asynchronous Global Optimization for Massive-Scale 
      Computing},
   OPTTYPE      = {},
   YEAR         = {2009},
   ABSTRACT     = {As the rates of data acquisition and cost of model 
      evaluation in scientific computing are far surpassing improvements in 
      processor speed, the size of the computing environments required to 
      effectively perform scientific research is increasing dramatically. 
      As these computing environments increase in size, traditional global 
      optimization methods, which are sequential in nature, fail to 
      adequately address the challenges of scalability, fault tolerance and 
      heterogeneity that using these computing systems entails. This thesis 
      introduces asynchronous optimization strategies which while similar 
      to their traditional synchronous counterparts, do not have explicit 
      iterations or dependencies. This allows them to scale to hundreds of 
      thousands of hosts while not being degraded by faults or 
      heterogeneity. A framework for generic distributed optimization 
      (FGDO) is presented, which separates the concerns of scientific model 
      development, distributed computing and developing efficient 
      optimization strategies; allowing researchers to develop these 
      independently and utilize them interoperably through simple 
      interfaces. FGDO has been used to run these asynchronous optimization 
      methods using an astroinformatics problem which calculates models of 
      the Milky Way galaxy on thousands of processors in RPIâs BlueGene/L 
      supercomputer and to run the MilkyWay@Home volunteer computing 
      project, which currently consists of over 25,000 active computing 
      hosts. A simulation environment was also implemented in FGDO, which 
      allowed asynchronous optimization to be examined in a controlled 
      setting with benchmark optimization problems. Results using the 
      simulated environment show that the asynchronous optimization methods 
      used scale to hundreds of thousands of computing hosts, while the 
      traditional methods do not improve or even degrade as more computing 
      hosts are added. Additionally, the asynchronous optimization methods 
      are shown to be largely unaffected by increasing heterogeneity in the 
      computing environment and also scale similarly in a computing 
      environment modeled after MilkyWay@Home. This thesis presents strong 
      evidence of the need for novel optimization methods for massive scale 
      computing systems and provides effective initial work towards this 
      goal.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, scientific computing, middleware, 
      grid computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/desell-phd-thesis.pdf}
}

@ARTICLE{elmaghraoui-malleability-ccpe-2008,
   AUTHOR       = {Kaoutar El Maghraoui and Travis Desell and 
      Boleslaw K. Szymanski and Carlos A. Varela},
   JOURNAL      = {Concurrency and Computation: Practice and Experience},
   MONTH        = {March},
   OPTNOTE      = {},
   NUMBER       = {3},
   PAGES        = {393-413},
   TITLE        = {Malleable Iterative MPI Applications},
   VOLUME       = {21},
   YEAR         = {2009},
   ABSTRACT     = {Malleability enables a parallel application's execution 
      system to split or merge processes modifying granularity. While 
      process migration is widely used to adapt applications to dynamic 
      execution environments, it is limited by the granularity of the 
      application's processes. Malleability empowers process migration by 
      allowing the application's processes to expand or shrink following 
      the availability of resources. We have implemented malleability as an 
      extension to the process checkpointing and migration (PCM) library, a 
      userâlevel library for iterative message passing interface (MPI) 
      applications. PCM is integrated with the Internet Operating System, a 
      framework for middlewareâdriven dynamic application 
      reconfiguration. Our approach requires minimal code modifications and 
      enables transparent middlewareâtriggered reconfiguration. 
      Experimental results using a twoâdimensional data parallel program 
      that has a regular communication structure demonstrate the usefulness 
      of malleability.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, concurrent programming, 
      middleware, grid computing, scientific computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/elmaghraoui-malleability-ccpe-2008.pdf}
}

@INPROCEEDINGS{cole-adass2008,
   ADDRESS      = {Quebec},
   AUTHOR       = {Nathan Cole and Heidi Jo Newberg and Malik Magdon-Ismail and 
      Travis Desell and Carlos Varela and Boleslaw Szymanski},
   BOOKTITLE    = {ASTRONOMICAL DATA ANALYSIS SOFTWARE AND SYSTEMS XVIII},
   OPTEDITOR    = {},
   MONTH        = {November},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {221-225},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {A Study of the Sagittarius Tidal Stream Using Maximum 
      Likelihood},
   VOLUME       = {411},
   YEAR         = {2009},
   ABSTRACT     = {Modern surveys are producing enormous amounts of data 
      that can only be navigated via the use of the ever increasing 
      computational resources available. For example, the SDSS has taken a 
      large amount of photometric data that can be used to discover and 
      study substructure in the Galactic spheroid. A maximum likelihood 
      method was developed and applied to color-selected F turnoff stars 
      from two stripes of SDSS data, to determine the spatial 
      characteristics of the Sagittarius dwarf tidal debris that exists 
      within these stripes. The Sagittarius tidal debris in stripes 79 and 
      86 were detected at the positions (l,b,R) = (163.311 Â°, -48.400 Â°, 
      30.23 kpc) and (l,b,R) = (34.775 Â°, -72.342 Â°, 26.08 kpc) and were 
      found to have a FWHM of 6.53Â±0.54 kpc and 5.71Â±0.26 kpc and also to 
      contain â9,500 and â16,700 F turnoff stars, respectively. The 
      debris pieces are axially aligned with the directions (^X,^Y,^Z) = 
      (0.758 kpc, 0.254 kpc, -0.600 kpc) and (^X,^Y,^Z) = (0.982 kpc, 0.084 
      kpc, 0.167 kpc), respectively. The results of probabilistically 
      separating the tidal debris from the stellar spheroid are also 
      presented.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, scientific computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {}
}

@INPROCEEDINGS{desell-asyncopt-escience-2009,
   ADDRESS      = {Oxford, UK},
   AUTHOR       = {Travis Desell and Malik Magdon-Ismail and 
      Boleslaw Szymanski and Carlos A. Varela and Heidi Newberg and 
      Nathan Cole},
   BOOKTITLE    = {Proceedings of the 5th IEEE International Conference on e-Science (eScience2009)},
   OPTEDITOR    = {},
   MONTH        = {December},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {263-270},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Robust Asynchronous Optimization for Volunteer Computing 
      Grids},
   OPTVOLUME    = {},
   YEAR         = {2009},
   ABSTRACT     = {General-Purpose computing on Graphics Processing Units 
      (GPGPU) is an emerging field of research which allows software 
      developers to utilize the significant amount of computing resources 
      GPUs provide for a wider range of applications. While traditional 
      high performance computing environments such as clusters, grids and 
      supercomputers require significant architectural modifications to 
      incorporate GPUs, volunteer computing grids already have these 
      resources available as most personal computers have GPUs available 
      for recreational use. Additionally, volunteer computing grids are 
      gradually upgraded by the volunteers as they upgrade their hardware, 
      whereas clusters, grids and supercomputers are typically upgraded 
      only when replaced by newer hardware. As such, MilkyWay@Homeâs 
      volunteer computing system is an excellent testbed for measuring the 
      potential of large scale distributed GPGPU computing across a large 
      number of heterogeneous GPUs. This work discusses the implementation 
      and optimization of the MilkyWay@Home client application for both 
      Nvidia and ATI GPUs. A 17 times speedup was achieved for 
      double-precision calculations on a Nvidia GeForce GTX 285 card, and a 
      109 times speedup for double-precision calculations on an ATI HD5870 
      card, compared to the CPU version running on one core of a 3.0 GHz 
      AMD Phenom(tm)II X4 940. Using single-precision calculations was also 
      evaluated which further increased performance 6.2 times for ATI card, 
      and 7.8 times on the Nvidia card but with some loss of accuracy. 
      Modifications to the BOINC infrastructure which enable GPU discovery 
      and utilization are also discussed. The resulting software enabled 
      MilkyWay@Home to use GPU applications for a significant increase in 
      computing power, at the time of this publication approximately 216 
      teraflops, which would place the combined power of these GPUs between 
      the 11th and 12th fastest supercomputers in the world.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, scientific computing, middleware, 
      grid computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/escience2009.pdf}
}

@INPROCEEDINGS{desell-gpu-ppam-2009,
   ADDRESS      = {Wroclaw, Poland},
   AUTHOR       = {Travis Desell and Anthony Waters and Malik Magdon-Ismail and 
      Boleslaw Szymanski and Carlos A. Varela and Matthew Newby and 
      Heidi Newberg and Andreas Przystawik and Dave Anderson},
   BOOKTITLE    = {Proceedings of the 8th International Conference on Parallel Processing and Applied Mathematics (PPAM 2009)},
   OPTEDITOR    = {},
   MONTH        = {September},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {13 pp.},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Accelerating the MilkyWay@Home volunteer computing 
      project with GPUs},
   OPTVOLUME    = {},
   YEAR         = {2009},
   ABSTRACT     = {General-Purpose computing on Graphics Processing Units 
      (GPGPU) is an emerging field of research which allows software 
      developers to utilize the significant amount of computing resources 
      GPUs provide for a wider range of applications. While traditional 
      high performance computing environments such as clusters, grids and 
      supercomputers require significant architectural modifications to 
      incorporate GPUs, volunteer computing grids already have these 
      resources available as most personal computers have GPUs available 
      for recreational use. Additionally, volunteer computing grids are 
      gradually upgraded by the volunteers as they upgrade their hardware, 
      whereas clusters, grids and supercomputers are typically upgraded 
      only when replaced by newer hardware. As such, MilkyWay@Homeâs 
      volunteer computing system is an excellent testbed for measuring the 
      potential of large scale distributed GPGPU computing across a large 
      number of heterogeneous GPUs. This work discusses the implementation 
      and optimization of the MilkyWay@Home client application for both 
      Nvidia and ATI GPUs. A 17 times speedup was achieved for 
      double-precision calculations on a Nvidia GeForce GTX 285 card, and a 
      109 times speedup for double-precision calculations on an ATI HD5870 
      card, compared to the CPU version running on one core of a 3.0 GHz 
      AMD Phenom(tm)II X4 940. Using single-precision calculations was also 
      evaluated which further increased performance 6.2 times for ATI card, 
      and 7.8 times on the Nvidia card but with some loss of accuracy. 
      Modifications to the BOINC infrastructure which enable GPU discovery 
      and utilization are also discussed. The resulting software enabled 
      MilkyWay@Home to use GPU applications for a significant increase in 
      computing power, at the time of this publication approximately 216 
      teraflops, which would place the combined power of these GPUs between 
      the 11th and 12th fastest supercomputers in the world.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, scientific computing, middleware, 
      grid computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/ppam2009.pdf}
}

@INPROCEEDINGS{costanzo-steering-escience-2009,
   ADDRESS      = {Oxford, UK},
   AUTHOR       = {di Costanzo, Alexandre and Chao Jin and Carlos A. Varela and 
      Rajkumar Buyya},
   BOOKTITLE    = {Proceedings of the 5th IEEE International Conference on e-Science (eScience2009)},
   OPTEDITOR    = {},
   MONTH        = {December},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {8 pp.},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Enabling Computational Steering with an 
      Asynchronous-Iterative Computation Framework},
   OPTVOLUME    = {},
   YEAR         = {2009},
   ABSTRACT     = {In this paper, we present a framework that enables 
      scientists to steer computations executing over large-scale grid 
      computing environments. By using computational steering, users can 
      dynamically control their simulations or computations to reach 
      expected results more efficiently. The framework supports steerable 
      applications by introducing an asynchronous iterative MapReduce 
      programming model that is deployed using Hadoop over a set of virtual 
      machines executing on a multi-cluster grid. To tolerate the 
      heterogeneity between different sites, results are collected 
      asynchronously and users can dynamically interact with their 
      computations to adjust the area of interest. According to users' 
      dynamic interaction, the framework can redistribute the computational 
      overload between the heterogeneous sites and explore the user's 
      interest area by using more powerful sites when possible. With our 
      framework, the bottleneck induced by synchronisation between 
      different sites is considerably avoided, and therefore the response 
      to users' interaction is satisfied more efficiently. We illustrate 
      and evaluate this framework with a scientific application that aims 
      to fit models of the Milky Way galaxy structure to stars observed by 
      the Sloan Digital Sky Survey.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, scientific computing, middleware, 
      grid computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/adc-escience-2009.pdf}
}

@MISC{desell-asyncopt-boinc-2009,
   ADDRESS      = {Barcelona, Spain},
   AUTHOR       = {Travis Desell},
   HOWPUBLISHED = {The 5th Pan-Galactic BOINC Workshop},
   MONTH        = {October},
   OPTNOTE      = {},
   TITLE        = {Robust Asynchronous Optimization using Volunteer 
      Computing Grids},
   YEAR         = {2009},
   ABSTRACT     = {Volunteer computing grids offer significant computing 
      power at relatively low cost to researchers, while at the same time 
      generating public interest in different scientific projects. However, 
      in order to be used effectively, their heterogeneity, volatility and 
      restrictive computing models must be overcome. As these computing 
      grids are open, incorrect or malicious results must also be handled. 
      This paper examines extending the BOINC volunteer computing framework 
      to allow for asynchronous global optimization as applied to 
      scientific computing problems. The asynchronous optimization method 
      used is resilient to faults and the heterogeneous nature of volunteer 
      computing grids, while allowing scalability to tens of thousands of 
      hosts. A work verification strategy that does not require the 
      validation of every result is presented. This is shown to be able to 
      effectively reduce the need for verification done to less than 30% of 
      the reported results, without degrading the performance of the 
      asynchronous search methods. An asynchronous version of particle 
      swarm optimization (APSO) is presented and com- pared to previously 
      used asynchronous genetic search (AGS) using the MilkyWay@Home BOINC 
      computing project. Both search methods are shown to scale to 
      MilkyWay@Home's current user base, over 75,000 heterogeneous and 
      volatile hosts, something not possible for traditional optimization 
      methods. APSO is shown to provide faster convergence to optimal 
      results while being less sensitive to its search parameters. The 
      verification strategy presented is shown to be effective for both AGS 
      and APSO.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, grid computing, middleware, 
      scientific computing},
   URL          = {http://milkyway.cs.rpi.edu/milkyway/download/boinc2009.ppt},
   OPTURL-PUBLISHER = {}
}

@ARTICLE{cole-apj-2008,
   AUTHOR       = {Nathan Cole and Heidi Newberg and Malik Magdon-Ismail and 
      Travis Desell and Kristopher Dawsey and Warren Hayashi and 
      Jonathan Purnell and Boleslaw Szymanski and Carlos A. Varela and 
      Benjamin Willett and James Wisniewski},
   JOURNAL      = {Astrophysical Journal},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   PAGES        = {750-766},
   TITLE        = {Maximum Likelihood Fitting of Tidal Streams with 
      Application to the Sagittarius Dwarf Tidal Tails},
   VOLUME       = {683},
   YEAR         = {2008},
   ABSTRACT     = {We present a maximum likelihood method for determining 
      the spatial properties of tidal debris and of the Galactic spheroid. 
      With this method we characterize Sagittarius debris using stars with 
      the colors of blue F turnoff stars in SDSS stripe 82. The debris is 
      located at ( \alpha ,\delta ,R) = ( 31.37^{\circ }\pm 0.26^{\circ 
      },0.0^{\circ },29.22\pm 0.20\ \mathrm{kpc}\,) , with a (spatial) 
      direction given by the unit vector ( -0.991\pm 0.007\ 
      \mathrm{kpc}\,,0.042\pm 0.033\ \mathrm{kpc}\,,0.127\pm 0.046\ 
      \mathrm{kpc}\,) , in galactocentric Cartesian coordinates, and with 
      \mathrm{FWHM}\, = 6.74\pm 0.06 kpc. This 2.5Â° wide stripe contains 
      0.9% as many F turnoff stars as the current Sagittarius dwarf galaxy. 
      Over small spatial extent, the debris is modeled as a cylinder with a 
      density that falls off as a Gaussian with distance from the axis, 
      while the smooth component of the spheroid is modeled with a 
      Hernquist profile. We assume that the absolute magnitude of F turnoff 
      stars is distributed as a Gaussian, which is an improvement over 
      previous methods which fixed the absolute magnitude at 
      \overline{M}_{g_{0}} = 4.2 . The effectiveness and correctness of the 
      algorithm is demonstrated on a simulated set of F turnoff stars 
      created to mimic SDSS stripe 82 data, which shows that we have a much 
      greater accuracy than previous studies. Our algorithm can be applied 
      to divide the stellar data into two catalogs: one which fits the 
      stream density profile and one with the characteristics of the 
      spheroid. This allows us to effectively separate tidal debris from 
      the spheroid population, both facilitating the study of the tidal 
      stream dynamics and providing a test of whether a smooth spheroidal 
      population exists.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, astroinformatics, grid computing, 
      scientific computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/cole-apj-2008.pdf}
}

@INPROCEEDINGS{cole-aip2008,
   OPTADDRESS   = {},
   AUTHOR       = {Nathan Cole and Heidi Jo Newberg and Malik Magdon-Ismail and 
      Travis Desell and Boleslaw Szymanski and Carlos Varela},
   BOOKTITLE    = {CLASSIFICATION AND DISCOVERY IN LARGE ASTRONOMICAL SURVEYS},
   OPTEDITOR    = {},
   MONTH        = {October},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {216-220},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Tracing the Sagittarius Tidal Stream with Maximum 
      Likelihood},
   VOLUME       = {1082},
   YEAR         = {2008},
   ABSTRACT     = {Large scale surveys are providing vast amounts of data 
      that can help us understand and study tidal debris more easily and 
      accurately. A maximum likelihood method for determining the spatial 
      properties of this tidal debris and the stellar Galactic spheroid has 
      been developed to take advantage of these huge datasets. We present 
      the results of studying the Sagittarius dwarf tidal stream in two 
      SDSS stripes taken in the southern Galactic Cap using this method. 
      This study was done using stars with the colors of blue F turnoff 
      stars in SDSS. We detected Sagittarius debris at the positions 
      (l,b,R) = (163.311Â°,â48.400Â°,30.23kpc) and (l,b,R) = 
      (34.775Â°,â72.342Â°,26.08kpc). These debris pieces were found to 
      have a FWHM of 6.53Â±0.54kpc and 5.71Â±0.26kpc and also to contain 
      â9,500 and â16,700 F turnoff stars, respectively. The debris 
      pieces were also found to have (spatial) directions of (XÌ,Ć¶,áș) = 
      (0.758,0.254,â0.600) and (XÌ,Ć¶,áș) = (0.982,0.945,0.167), 
      respectively. Using the results of the algorithm, we have also 
      probabilistically separated the tidal debris from the stellar 
      spheroid and present those results as well.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, scientific computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {}
}

@INPROCEEDINGS{desell-ags-gecco-2008,
   ADDRESS      = {Atlanta, Georgia},
   AUTHOR       = {Travis Desell and Boleslaw Szymanski and 
      Carlos A. Varela},
   BOOKTITLE    = {Genetic and Evolutionary Computation Conference (GECCO 2008)},
   OPTEDITOR    = {},
   MONTH        = {July},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {921--928},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {An Asynchronous Hybrid Genetic-Simplex Search for 
      Modeling the Milky Way Galaxy using Volunteer Computing},
   OPTVOLUME    = {},
   YEAR         = {2008},
   ABSTRACT     = {This paper examines the use of a probabilistic simplex 
      operator for asynchronous genetic search on the BOINC volunteer 
      computing framework. This algorithm is used to optimize a 
      computationally intensive function with a continuous parameter space: 
      finding the optimal fit of an astronomical model of the Milky Way 
      galaxy to observed stars. The asynchronous search using a BOINC 
      community of over 1,000 users is shown to be comparable to a 
      synchronous continuously updated genetic search on a 1,024 processor 
      partition of an IBM BlueGene/L supercomputer. The probabilistic 
      simplex operator is also shown to be highly effective and the results 
      demonstrate that increasing the parents used to generate offspring 
      improves the convergence rate of the search. Additionally, it is 
      shown that there is potential for improvement by refining the range 
      of the probabilistic operator, adding more parents, and generating 
      offspring differently for volunteered computers based on their 
      typical speed in reporting results. The results provide a compelling 
      argument for the use of asynchronous genetic search and volunteer 
      computing environments, such as BOINC, for computationally intensive 
      optimization problems and, therefore, this work opens up interesting 
      areas of future research into asynchronous optimization methods.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, astroinformatics, grid computing, 
      scientific computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/desell-gecco-2008.pdf}
}

@INPROCEEDINGS{desell-ags-hcw-2008,
   ADDRESS      = {Miami, FL},
   AUTHOR       = {Travis Desell and Boleslaw Szymanski and 
      Carlos A. Varela},
   BOOKTITLE    = {Proceedings of the 17th International Heterogeneity in Computing Workshop (HCW/IPDPS'08)},
   OPTEDITOR    = {},
   MONTH        = {April},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {12 pp.},
   PUBLISHER    = {IEEE},
   OPTSERIES    = {},
   TITLE        = {Asynchronous Genetic Search for Scientific Modeling on 
      Large-Scale Heterogeneous Environments},
   OPTVOLUME    = {},
   YEAR         = {2008},
   ABSTRACT     = {Use of large-scale heterogeneous computing environments 
      such as computational grids and the Internet has become of high 
      interest to scientific researchers. This is because the increasing 
      complexity of their scientific models and data sets is drastically 
      outpacing the increases in processor speed while the cost of 
      supercomputing environments remains relatively high. However, the 
      heterogeneity and unreliability of these environments, especially the 
      Internet, make scalable and fault tolerant search methods 
      indispensable to effective scientific model verification. The paper 
      introduces two versions of asynchronous master-worker genetic search 
      and evaluates their convergence and performance rates in comparison 
      to traditional synchronous genetic search on both a IBM BlueGene 
      supercomputer and using the MilkyWay@HOME BOINC Internet computing 
      project 1. The asynchronous searches not only perform faster on 
      heterogeneous grid environments as compared to synchronous search, 
      but also achieve better convergence rates for the astronomy model 
      used as the driving application, providing a strong argument for 
      their use on grid computing environments and by the Milky Way@Home 
      BOINC Internet computing project.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, scientific computing, middleware, 
      grid computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/desell-ags-hcw-2008.pdf}
}

@TECHREPORT{laporte-varela-overview-2008,
   OPTADDRESS   = {},
   AUTHOR       = {Jason LaPorte and Carlos A. Varela},
   INSTITUTION  = {Rensselaer Polytechnic Institute Worldwide Computing Laboratory},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   PAGES        = {8pp},
   TITLE        = {Organic and Hierarchical Concentric Layouts for 
      Distributed System Visualization},
   OPTTYPE      = {},
   YEAR         = {2008},
   ABSTRACT     = {Distributed systems, due to their inherent complexity 
      and nondeterministic nature, are programmed using high-level 
      abstractions, such as processes, actors, ambients, agents, or 
      services. There is a need to provide tools which allow developers to 
      better understand, test, and debug distributed systems. OverView is a 
      software toolkit which allows online and offline visualization of 
      distributed systems through the concepts of entities and containers, 
      which preserve the abstractions used at the programming level and 
      display important dynamic properties, such as temporal (that is, when 
      entities are created and deleted), spatial (that is, entity location 
      and migration events) and relational (that is, entity containment or 
      communication patterns). In this paper, we introduce two general 
      layout mechanisms to visualize distributed systems: a hierarchical 
      concentric layout that places containers and entities in a ring of 
      rings, and an organic layout that uses the dynamic properties of the 
      system to co-locate entities. We define visualization quality metrics 
      such as intuitiveness, scalability, and genericity, and use them to 
      evaluate the visualization layouts for several application 
      communication topologies including linked lists, trees, hypercubes, 
      and topologies arising from structured overlay networks such as Chord 
      rings.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, 
      distributed systems visualization},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/laporte-varela-overview-tr-2008.pdf}
}

@MASTERSTHESIS{boodman-transactors-2008,
   OPTADDRESS   = {},
   AUTHOR       = {Brian Boodman},
   MONTH        = {May},
   OPTNOTE      = {},
   SCHOOL       = {Rensselaer Polytechnic Institute},
   TITLE        = {Implementing and Verifying the Safety of the Transactor 
      Model},
   OPTTYPE      = {},
   YEAR         = {2008},
   ABSTRACT     = {The transactor model is an extension of the actor model 
      designed to tolerate failures in distributed systems. Transactors can 
      provide guarantees about consistency of a distributed system's state 
      in the face of message loss and temporary failures of computing 
      nodes. The model introduces dependency information and a two-phase 
      checkpointing protocol. The added dependency information enables 
      transactors to track the interdependencies caused by communications 
      between actors, making it possible to ensure that the state of the 
      distributed system may contain machines which are not consistent with 
      one another, the transactor model keeps track of the 
      interdependencies between these machines, ensuring that such machines 
      will roll back to a previous state if necessary in order to maintain 
      consistency. Thus, the system will move from globally consistent 
      state to globally consistent state},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, concurrent programming, 
      coordination models, internet programming languages, 
      formal verification},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/BoodmanMSThesis.pdf}
}

@MISC{varela-sync-boinc-2008,
   ADDRESS      = {Grenoble, France},
   AUTHOR       = {C. Varela},
   HOWPUBLISHED = {The 4th Pan-Galactic BOINC Workshop},
   MONTH        = {September},
   NOTE         = {Presentation video <a href=http://video.google.com/videoplay?docid=-172770322543046657&hl=en>available</a>.},
   TITLE        = {Enabling Synchronous Computation on Volunteer Computing 
      Grids},
   YEAR         = {2008},
   OPTABSTRACT  = {},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, grid computing, middleware, 
      scientific computing},
   URL          = {http://boinc.berkeley.edu/trac/wiki/WorkShop08},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/b5.pdf}
}

@PHDTHESIS{elmaghraoui-phd-2007,
   OPTADDRESS   = {},
   AUTHOR       = {Kaoutar El Maghraoui},
   OPTMONTH     = {},
   OPTNOTE      = {},
   SCHOOL       = {Rensselaer Polytechnic Institute},
   TITLE        = {A Framework for the Dynamic Reconfiguration of 
      Scientific Applications in Grid Environments},
   OPTTYPE      = {},
   YEAR         = {2007},
   ABSTRACT     = {Advances in hardware technologies are constantly pushing 
      the limits of processing, networking, and storage resources, yet 
      there are always applications whose computational demands exceed even 
      the fastest technologies available. It has become critical to look 
      into ways to efficiently aggregate distributed resources to benefit a 
      single application. Achieving this vision requires the ability to run 
      applications on dynamic and heterogeneous environments such as grids 
      and shared clusters. New challenges emerge in such environments, 
      where performance variability is the rule and not the exception, and 
      where the availability of the resources can change anytime. 
      Therefore, applications require the ability to dynamically 
      reconfigure to adjust to the dynamics of the underlying resources. To 
      realize this vision, we have developed the Internet Operating System 
      (IOS), a framework for middleware-driven application reconfiguration 
      in dynamic execution environments. Its goal is to provide high 
      performance to individual applications in dynamic settings and to 
      provide the necessary tools to facilitate the way in which scientific 
      and engineering applications interact with dynamic environments and 
      reconfigure themselves as needed. Reconfiguration in IOS is triggered 
      by a set of decentralized agents that form a virtual network 
      topology. IOS is built modularly to allow the use of different 
      algorithms for agentsâ coordination, resource profiling, and 
      reconfiguration. IOS exposes generic APIs to high-level applications 
      to allow for interoperability with a wide range of applications. We 
      investigated two representative virtual topologies for inter-agent 
      coordination: a peer-to-peer and a cluster-to-cluster topology},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {concurrent programming, distributed computing, 
      grid computing, middleware},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/elmaghraoui-phd.pdf}
}

@ARTICLE{desell-cc-malleability-2007,
   ADDRESS      = {Netherlands},
   AUTHOR       = {Travis Desell and Kaoutar El Maghraoui and 
      Carlos A. Varela},
   JOURNAL      = {Cluster Computing},
   MONTH        = {June},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   PAGES        = {323--337},
   PUBLISHER    = {Springer},
   TITLE        = {Malleable Applications for Scalable High Performance 
      Computing},
   OPTVOLUME    = {},
   YEAR         = {2007},
   ABSTRACT     = {Iterative applications are known to run as slow as their 
      slowest computational component. This paper introduces malleability, 
      a new dynamic reconfiguration strategy to overcome this limitation. 
      Malleability is the ability to dynamically change the data size and 
      number of computational entities in an application. Malleability can 
      be used by middleware to autonomously reconfigure an application in 
      response to dynamic changes in resource availability in an 
      architecture-aware manner, allowing applications to optimize the use 
      of multiple processors and diverse memory hierarchies in 
      heterogeneous environments. The modular Internet Operating System 
      (IOS) was extended to reconfigure applications autonomously using 
      malleability. Two different iterative applications were made 
      malleable. The first is used in astronomical modeling, and 
      representative of maximum-likelihood applications was made malleable 
      in the SALSA programming language. The second models the diffusion of 
      heat over a two dimensional object, and is representative of 
      applications such as partial differential equations and some types of 
      distributed simulations. Versions of the heat application were made 
      malleable both in SALSA and MPI. Algorithms for concurrent data 
      redistribution are given for each type of application. Results show 
      that using malleability for reconfiguration is 10 to 100 times faster 
      on the tested environments. The algorithms are also shown to be 
      highly scalable with respect to the quantity of data involved. While 
      previous work has shown the utility of dynamically reconfigurable 
      applications using only computational component migration, 
      malleability is shown to provide up to a 15% speedup over component 
      migration alone on a dynamic cluster environment. This work is part 
      of an ongoing research effort to enable applications to be highly 
      reconfigurable and autonomously modifiable by middleware in order to 
      efficiently utilize distributed environments. Grid computing 
      environments are becoming increasingly heterogeneous and dynamic, 
      placing new demands on applicationsâ adaptive behavior. This work 
      shows that malleability is a key aspect in enabling effective dynamic 
      reconfiguration of iterative applications in these environments.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, grid computing, middleware},
   URL          = {http://dx.doi.org/10.1007/s10586-007-0032-9},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/cc-malleability2007.pdf}
}

@INPROCEEDINGS{desell-gmle-escience-2007,
   ADDRESS      = {Bangalore, India},
   AUTHOR       = {Travis Desell and Nathan Cole and Malik Magdon-Ismail and 
      Heidi Newberg and Boleslaw Szymanski and Carlos A. Varela},
   BOOKTITLE    = {3rd IEEE International Conference on e-Science and Grid Computing (eScience2007)},
   OPTEDITOR    = {},
   MONTH        = {December},
   NOTE         = {Best paper (finalist) award},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {337--344},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Distributed and Generic Maximum Likelihood Evaluation},
   OPTVOLUME    = {},
   YEAR         = {2007},
   ABSTRACT     = {This paper presents GMLE 1, a generic and distributed 
      framework for maximum likelihood evaluation. GMLE is currently being 
      applied to astroinformatics for determining the shape of star streams 
      in the Milky Way galaxy, and to particle physics in a search for 
      theory-predicted but yet unobserved sub-atomic particles. GMLE is 
      designed to enable parallel and distributed executions on platforms 
      ranging from supercomputers and high-performance homogeneous 
      computing clusters to more heterogeneous Grid and Internet computing 
      environments. GMLE's modular implementation seperates concerns of 
      developers into the distributed evaluation frameworks, scientific 
      models, and search methods, which interact through a simple API. This 
      allows us to compare the benefits and drawbacks of different 
      scientific models using different search methods on different 
      computing environments. We describe and compare the performance of 
      two implementations of the GMLE framework: an MPI version that more 
      effectively uses homogeneous environments such as IBM's BlueGene, and 
      a SALSA version that more easily accommodates heterogeneous 
      environments such as the Rensselaer Grid. We have shown GMLE to scale 
      well in terms of computation as well as communication over a wide 
      range of environments. We expect that scientific computing 
      frameworks, such as GMLE, will help bridge the gap between scientists 
      needing to analyze ever larger amounts of data and ever more complex 
      distributed computing environments.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, scientific computing, 
      grid computing, supercomputing, internet computing, 
      distributed computing, scientific computing, middleware, 
      grid computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/e-science2007.pdf}
}

@INPROCEEDINGS{elmaghraoui-mpi-malleability-2007,
   OPTADDRESS   = {},
   AUTHOR       = {Kaoutar El Maghraoui and Travis Desell and 
      Boleslaw K. Szymanski and Carlos A. Varela},
   BOOKTITLE    = {Proceedings of Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2007), Rio de Janeiro, Brazil},
   OPTEDITOR    = {},
   MONTH        = {May},
   NOTE         = {Best paper award nominee},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {591--598},
   PUBLISHER    = {IEEE Computer Society},
   OPTSERIES    = {},
   TITLE        = {Dynamic Malleability in Iterative MPI Applications},
   OPTVOLUME    = {},
   YEAR         = {2007},
   ABSTRACT     = {Malleability enables a parallel application's execution 
      system to split or merge processes modifying granularity. While 
      process migration is widely used to adapt applications to dynamic 
      execution environments, it is limited by the granularity of the 
      application's processes. Malleability empowers process migration by 
      allowing the application's processes to expand or shrink following 
      the availability of resources. We have implemented malleability as an 
      extension to the PCM (process checkpointing and migration) library, a 
      user-level library for iterative MPI applications. PCM is integrated 
      with the Internet operating system (IOS), a framework for 
      middleware-driven dynamic application reconfiguration. Our approach 
      requires minimal code modifications and enables transparent 
      middleware- triggered reconfiguration. Experimental results using a 
      two-dimensional data parallel program that has a regular 
      communication structure demonstrate the usefulness of malleability.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {concurrent programming, distributed computing, 
      middleware, grid computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/ccgrid07.pdf}
}

@INPROCEEDINGS{szymanski-ags-ppam-2007,
   ADDRESS      = {Gdansk, Poland},
   AUTHOR       = {Boleslaw Szymanski and Travis Desell and 
      Carlos A. Varela},
   BOOKTITLE    = {Proc. of the Seventh International Conference on Parallel Processing and Applied Mathematics (PPAM'2007)},
   OPTEDITOR    = {},
   MONTH        = {September},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {457--468},
   OPTPUBLISHER = {},
   SERIES       = {LNCS},
   TITLE        = {The Effect of Heterogeneity on Asynchronous Panmictic 
      Genetic Search},
   OPTVOLUME    = {},
   YEAR         = {2007},
   ABSTRACT     = {Research scientists increasingly turn to large-scale 
      heterogeneous environments such as computational grids and the 
      Internet based facilities to satisfy their rapidly growing 
      computational needs. The increasing complexity of the scientific 
      models and rapid collection of new data are drastically outpacing the 
      advances in processor speed while the cost of supercomputing 
      environments remains relatively high. However, the heterogeneity and 
      unreliability of these environments, especially the Internet, make 
      scalable and fault tolerant search methods indispensable to effective 
      scientific model verification. An effective search method for these 
      types of environments is asynchronous genetic search, where a 
      population continuously evolves based on asynchronously generated and 
      received results. However, it is unclear what effect heterogeneity 
      has on this type of search. For example, results received from slower 
      workers may turn out to be obsolete or less beneficial than results 
      calculated by faster workers. This paper examines the effect of 
      heterogeneity on asynchronous panmictic (single population) genetic 
      search for two different scientific applications, one used by 
      astronomers to model the Milky Way galaxy and another by particle 
      physicists to determine the existence of theory predicted, yet 
      unobserved particles such as missing baryons. Results show that for 
      both applications results received from slower workers while overall 
      less beneficial are still useful. Additionally, a modification of 
      asynchronous genetic search shows that different parameter generation 
      strategies change their effectiveness over the course of the search.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, concurrent programming, 
      scientific computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/ppam07.pdf}
}

@TECHREPORT{varela-salsa-2007,
   OPTADDRESS   = {},
   AUTHOR       = {C. A. Varela and G. Agha and W. Wang and T. Desell and 
      K. E. Maghraoui and J. LaPorte and A. Stephens},
   INSTITUTION  = {Dept. of Computer Science, R.P.I.},
   MONTH        = {February},
   OPTNOTE      = {},
   NUMBER       = {07-12},
   TITLE        = {The SALSA Programming Language: 1.1.2 Release Tutorial},
   OPTTYPE      = {},
   YEAR         = {2007},
   ABSTRACT     = {With the emergence of Internet and mobile computing, a 
      wide range of Internet applications have introduced new demands for 
      openness, portability, highly dynamic reconfiguration, and the 
      ability to adapt quickly to changing execution environments. Current 
      programming languages and systems lack support for dynamic 
      reconfiguration of applications, where application entities get moved 
      to different processing nodes at run-time. Java has provided support 
      for dynamic web content through applets, network class loading, 
      bytecode verification, security, and multi-platform compatibility. 
      Moreover, Java is a good framework for distributed Internet 
      programming because of its standardized representation of objects and 
      serialization support. Some of the important libraries that provide 
      support for Internet computing are: java.rmi for remote method 
      invocation, java.reflection for run-time introspection, java.io for 
      serialization, and java.net for sockets, datagrams, and URLs. SALSA 
      (Simple Actor Language, System and Architecture) is an actororiented 
      programming language designed and implemented to introduce the 
      benefits of the actor model while keeping the advantages of 
      object-oriented programming. Abstractions include active objects, 
      asynchronous message passing, universal naming, migration, and 
      advanced coordination constructs for concurrency. SALSA is 
      pre-processed into Java and preserves many of Javaâs useful object 
      oriented conceptsmainly, encapsulation, inheritance, and 
      polymorphism. SALSA abstractions enable the development of 
      dynamically reconfigurable applications. A SALSA program consists of 
      universal actors that can be migrated around distributed nodes at 
      runtime.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {concurrent programming, internet programming languages},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/b4.pdf}
}

@TECHREPORT{wang-varela-reference-listing-2007,
   OPTADDRESS   = {},
   AUTHOR       = {Wei-Jen Wang and Carlos A. Varela},
   INSTITUTION  = {Dept. of Computer Science, R.P.I.},
   MONTH        = {February},
   OPTNOTE      = {},
   NUMBER       = {07-05},
   TITLE        = {A Non-Blocking Reference Listing Algorithm for Mobile 
      Active Object Garbage Collection},
   OPTTYPE      = {},
   YEAR         = {2007},
   ABSTRACT     = {Automatic garbage collection (GC) gives abstraction to 
      distributed application development, promoting code quality and 
      improving resource management. Unreachability of active objects or 
      actors from the root set is not a sufficient condition to collect 
      actor garbage, making passive object GC algorithms unsafe when 
      directly used on actor systems. In practical actor languages, all 
      actors have references to the root set since they can interact with 
      users, e.g., through standard input or output streams. This feature 
      makes every unblocked actor live, and thus we call it the live 
      unblocked actor principle. Following this idea, we introduce 
      pseudo-roots: a dynamic set of actors that can be viewed as the root 
      set. Pseudo-roots use protected (undeletable) references to ensure 
      that no actors are erroneously collected even with messages in 
      transit. The pseudoroot approach simplifies distributed actor garbage 
      collection by representing in-transit messages in the actor reference 
      graph even if both application and system messages are unordered 
      (nonFIFO) and communication is asynchronous. Our algorithm also 
      supports systems not following the live unblocked actor principle and 
      therefore, is applicable to more traditional actor garbage 
      collection. We formalize the computing model of the pseudo-root 
      approach and provide proofs of correctness. Furthermore, we summarize 
      empirical results on the performance and scalability of distributed 
      GC using a particle physics maximum likelihood evaluation fitter on a 
      72-processor cluster environment.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, grid computing, 
      internet programming languages},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/toplasCS.pdf}
}

@MASTERSTHESIS{desell-malleability-2007,
   OPTADDRESS   = {},
   AUTHOR       = {Travis Desell},
   MONTH        = {May},
   OPTNOTE      = {},
   SCHOOL       = {Rensselaer Polytechnic Institute},
   TITLE        = {Autonomic Grid Computing using Malleability and 
      Migration: An Actor-Oriented Software Framework},
   OPTTYPE      = {},
   YEAR         = {2007},
   ABSTRACT     = {As distributed computing environments increase in size 
      by adding more participants, their computing architectures become 
      more heterogeneous and dynamically available, while the chance of 
      hardware failure increases. In order to efficiently develop 
      applications for these environments, new programming methods and 
      services must be made accessible which enable dynamic reconfiguration 
      and fault tolerance. As part of an effort to provide these services 
      and methods, this thesis examines two reconfiguration methods that 
      allow applications to dynamically respond to changes in their 
      environment. Migration allows for the computational components of an 
      application to move between processors, while malleability enables a 
      more general reshaping of an application by adding or removing 
      computational components and redistributing data. Migration and 
      malleability have been implemented in the SALSA programming language. 
      Migration is provided transparently without any effort required from 
      a developer, while malleability is accomplished through a simple API. 
      The Internet Operating System (IOS), a modular middleware, is used to 
      autonomously reconfigure applications which implement these 
      reconfiguration methods.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, middleware, grid computing, 
      internet programming languages},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/desell_masters.pdf}
}

@PHDTHESIS{wang-phd-2006,
   OPTADDRESS   = {},
   AUTHOR       = {Wei-Jen Wang},
   OPTMONTH     = {},
   OPTNOTE      = {},
   SCHOOL       = {Rensselaer Polytechnic Institute},
   TITLE        = {Distributed Garbage Collection for Large-Scale Mobile 
      Actor Systems},
   OPTTYPE      = {},
   YEAR         = {2006},
   ABSTRACT     = {Distributed actor garbage collection (GC) is a 
      notoriously hard problem due to the nature of distributed actor 
      systems â no common clock, no coherent global information, 
      asynchronous and unordered message passing, autonomous behavior of 
      actors, and counter-intuitive actor marking to identify live actors. 
      Most existing distributed actor GC algorithms rely on 
      First-In-First-Out (FIFO) communication, which constrains the actor 
      model and is impractical with actor mobility; others depend on 
      stop-the-world synchronization, which is intrusive and impractical 
      for usersâ computations. Existing actor GC algorithms ignore actor 
      mobility and resource access restrictions. Existing distributed 
      passive object GC algorithms cannot be directly reused because of the 
      different semantics of passive objects and actors. To overcome the 
      problems that existing algorithms cannot solve, this thesis presents 
      a practical actor GC mechanism for distributed mobile actor systems. 
      Our approach starts formalizing garbage actors, and then we show two 
      different but similar transformation methods that prove the 
      equivalence of actor GC and passive object GC. Two actor marking 
      algorithms are derived from the transformation methods â the back 
      pointer algorithm and the N-color algorithm. The back pointer 
      algorithm has linear time complexity of O(E + V ) and extra space 
      complexity of O(E + V ), and the N-color algorithm has time 
      complexity of O(E lgâ M) and extra space complexity of O(M), given 
      that E is the number of references, V , the number of actors, and M, 
      the number of unblocked and root actors. The N-color algorithm only 
      requires scanning the reference graph once while the back pointer 
      algorithm requires scanning it twice.The thesis follows by describing 
      our distributed mobile actor GC mechanism. It consists of 1) an 
      asynchronous, non-FIFO reference listing based algorithm which 
      supports hierarchical GC (local and global GC), 2) a new 
      fault-tolerant, distributed snapshot-based algorithm which collects 
      cyclic and acyclic garbage in a partial set of computing hosts, and 
      3) formal models and correctness proofs. Experimental results have 
      confirmed that our approach is practical and scalable.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, grid computing, 
      internet programming languages, software agents},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/wangweijenphd.pdf}
}

@ARTICLE{elmaghraoui-ios-ijhpca-2006,
   AUTHOR       = {Kaoutar El Maghraoui and Travis Desell and 
      Boleslaw K. Szymanski and Carlos A. Varela},
   EDITOR       = {Larry Carter and Henri Casanova and Frèdèric Desprez and 
      Jeanne Ferrante and Yves Robert},
   JOURNAL      = {International Journal of High Performance Computing Applications (IJHPCA), Special Issue on Scheduling Techniques for Large-Scale Distributed Platforms},
   OPTMONTH     = {},
   OPTNOTE      = {},
   NUMBER       = {4},
   PAGES        = {467-480},
   PUBLISHER    = {SAGE Publications},
   TITLE        = {The Internet Operating System: Middleware for Adaptive 
      Distributed Computing},
   VOLUME       = {20},
   YEAR         = {2006},
   ABSTRACT     = {Large-scale, dynamic, and heterogeneous networks of 
      computational resources (a.k.a. grids) promise to provide high 
      performance and scalability to computationally intensive 
      applications. To fulfill this promise, grid environments require 
      complex resource management. We propose decentralized 
      middleware-triggered dynamic reconfiguration strategies to enable 
      application adaptation to the constantly changing resource 
      availability of Internet-scale shared computational grids. As a proof 
      of concept, we present a software framework for dynamically 
      reconfigurable distributed applications. The Internet Operating 
      System (IOS) is a middleware infrastructure which aims at freeing 
      application developers from dealing with non-functional concerns 
      while seeking to optimize application performance and global resource 
      utilization. IOS consists of distributed middleware agents that are 
      capable of interconnecting themselves in various virtual peer-to-peer 
      topologies. IOS middleware agents: 1) profile application 
      communication patterns; 2) evaluate the dynamics of the underlying 
      physical resources; and 3) reconfigure application components by 
      changing their mappings to physical resources through migration and 
      by changing their granularity through a split and merge mechanism. A 
      key characteristic of IOS is its decentralized coordination, thereby 
      avoiding the use of global knowledge and thus enabling scalable 
      reconfiguration. The IOS middleware is programming model-independent: 
      we have implemented an actor programming model interface for SALSA 
      programs and also a process programming model interface for MPI 
      programs. Experimental results show that adaptive middleware can be 
      an effective approach to reconfiguring distributed applications with 
      various ratios of communication to computation in order to improve 
      their performance, and more effectively utilize grid resources.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, grid computing, middleware},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/ijhpca06.pdf}
}

@INBOOK{teresco06b,
   OPTADDRESS   = {},
   AUTHOR       = {James D. Teresco and Joseph E. Flaherty and 
      Scott B. Baden and Jamal Faik and Sébastien Lacour and 
      Manish Parashar and Valerie E. Taylor and Carlos A. Varela},
   CHAPTER      = {Approaches to Architecture-Aware Parallel Scientific Computation},
   OPTEDITION   = {},
   EDITOR       = {Michael A. Heroux, Padma Raghavan and Horst D. Simon},
   MONTH        = {December},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   PAGES        = {33--58},
   PUBLISHER    = {SIAM},
   OPTSERIES    = {},
   TITLE        = {Parallel Processing for Scientific Computing},
   OPTTYPE      = {},
   OPTVOLUME    = {},
   YEAR         = {2006},
   ABSTRACT     = {Modern parallel scientific computation is being 
      performed in a wide variety of computational environments that 
      include clusters, large-scale supercomputers, grid environments, and 
      metacomputing environments. This presents challenges for application 
      and library developers, who must develop architecture-aware software 
      if they wish to utilize several computing platforms efficiently. 
      Architecture-aware computation can be beneficial in single-processor 
      environments. It takes the form of something as common as an 
      optimizing compiler, which will optimize software for a target 
      computer. Application and library developers may adjust data 
      structures or memory management techniques to improve cache 
      utilization on a particular system.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, grid computing, middleware, 
      scientific computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/pp04.pdf}
}

@INPROCEEDINGS{desell-ios-hpcgeco06,
   ADDRESS      = {Paris, France},
   AUTHOR       = {Travis Desell and Kaoutar El Maghraoui and 
      Carlos A. Varela},
   BOOKTITLE    = {Proceedings of the HPDC'15 Workshop on HPC Grid programming Environments and Components (HPC-GECO/CompFrame)},
   OPTEDITOR    = {},
   MONTH        = {June},
   NOTE         = {Best paper award},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {37--44},
   PUBLISHER    = {IEEE Computer Society},
   OPTSERIES    = {},
   TITLE        = {Malleable Components for Scalable High Performance 
      Computing},
   OPTVOLUME    = {},
   YEAR         = {2006},
   ABSTRACT     = {This paper describes a modular decentralized middleware 
      framework for dynamic application reconfiguration in large scale 
      heterogeneous environments. Component malleability is presented as a 
      dynamic reconfiguration strategy. Dynamic component granularity 
      enables improved load balancing by component migration, and most 
      importantly, it enables applications to scale up to arbitrarily large 
      numbers of processing nodes in a relatively transparent way. 
      Preliminary experimental results show that without significant 
      overhead, malleable components can improve applications performance 
      and distributed resource utilization.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, grid computing, middleware},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/hpcgeco06.pdf}
}

@INPROCEEDINGS{elmaghraoui-planning-middleware-2006,
   OPTADDRESS   = {},
   AUTHOR       = {Kaoutar El Maghraoui and Alok Meghranjani and 
      Tamar Eilam and Michael H. Kalantar and Alexander V. Konstantinou},
   BOOKTITLE    = {Proc. of Middleware 2006, ACM/IFIP/USENIX 7th International Middleware Conference, Melbourne, Australia, November 27-December 1},
   OPTEDITOR    = {},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {404-423},
   PUBLISHER    = {Springer},
   SERIES       = {Lecture Notes in Computer Science},
   TITLE        = {Model Driven Provisioning: Bridging the Gap Between 
      Declarative Object Models and Procedural Provisioning Tools.},
   OPTVOLUME    = {},
   YEAR         = {2006},
   ABSTRACT     = {Todayâs enterprise data centers support thousands of 
      mission-critical business applications composed of multiple 
      distributed heterogeneous components. Application components exhibit 
      complex dependencies on the configuration of multiple data center 
      network, middleware, and related application resources. Applications 
      are also associated with extended life-cycles, migrating from 
      development to testing, staging and production environments, with 
      frequent roll-backs. Maintaining end-to-end data center operational 
      integrity and quality requires careful planning of (1) application 
      deployment design, (2) resource selection, (3) provisioning operation 
      selection, parameterization and ordering, and (4) provisioning 
      operation execution. Current data center management products are 
      focused on workflow-based automation of the deployment processes. 
      Workflows are of limited value because they hard-code many aspects of 
      the process, and are thus sensitive to topology changes. An emerging 
      and promising class of model-based tools is providing new methods for 
      designing detailed deployment topologies based on a set of 
      requirements and constraints. In this paper we describe an approach 
      to bridging the gap between generated âdesired stateâ models and 
      the elemental procedural provisioning operations supported by data 
      center resources. In our approach, we represent the current and 
      desired state of the data center using object models. We use AI 
      planning to automatically generate workflows that bring the data 
      center from its current state to the desired state. We discuss our 
      optimizations to Partial Order Planning algorithms for the 
      provisioning domain. We validated our approach by developing and 
      integrating a prototype with a state of the art provisioning product. 
      We also present initial results of a performance study.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, middleware},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/middleware06.pdf}
}

@INPROCEEDINGS{wang-mle-06,
   ADDRESS      = {Amsterdam, Netherlands},
   AUTHOR       = {Wei-Jen Wang and Kaoutar El Maghraoui and John Cummings and 
      Jim Napolitano and Boleslaw K. Szymanski and Carlos A. Varela},
   BOOKTITLE    = {Second IEEE International Conference on e-Science and Grid Computing},
   OPTEDITOR    = {},
   MONTH        = {December},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {8 pp},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {A Middleware Framework for Maximum Likelihood Evaluation 
      over Dynamic Grids},
   OPTVOLUME    = {},
   YEAR         = {2006},
   ABSTRACT     = {We have designed a maximum likelihood fitter using the 
      actor model to distribute the computation over a heterogeneous 
      network. The prototype implementation uses the SALSA programming 
      language and the Internet Operating System middleware. We have used 
      our fitter to perform a partial wave analysis of particle physics 
      data. Preliminary measurements have shown good performance and 
      scalability. We expect our approach to be applicable to other 
      scientific domains, such as biology and astronomy, where maximum 
      likelihood evaluation is an important technique. We also expect our 
      performance results to scale to Internet-wide runtime 
      infrastructures, given the high adaptability of our software 
      framework.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, grid computing, middleware, 
      scientific computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/e-science2006.pdf}
}

@INPROCEEDINGS{wang-varela-dgc-gpc-2006,
   ADDRESS      = {Taichung, Taiwan},
   AUTHOR       = {Wei-Jen Wang and Carlos A. Varela},
   BOOKTITLE    = {Proceedings of the First International Conference on Grid and Pervasive Computing (GPC 2006)},
   OPTEDITOR    = {},
   MONTH        = {May},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {360-372},
   PUBLISHER    = {Springer},
   SERIES       = {Lecture Notes in Computer Science},
   TITLE        = {Distributed Garbage Collection for Mobile Actor Systems: 
      The Pseudo Root Approach},
   VOLUME       = {3947},
   YEAR         = {2006},
   ABSTRACT     = {Automatic distributed garbage collection (GC) gives 
      abstraction to grid application development, promoting code quality 
      and improving resource management. Unreachability of active objects 
      or actors from the root set is not a sufficient condition to collect 
      actor garbage, making passive object GC algorithms unsafe when 
      directly used on actor systems. In practical actor languages, all 
      actors have references to the root set since they can interact with 
      users, e.g., through standard input or output streams. Based on this 
      observation, we introduce pseudo roots: a dynamic set of actors that 
      can be viewed as the root set. Pseudo roots use protected 
      (undeletable) references to ensure that no actors are erroneously 
      collected even with messages in transit. Following this idea, we 
      introduce a new direction of actor GC, and demonstrate it by 
      developing a distributed GC framework. The framework can thus be used 
      for automatic life time management of mobile reactive processes with 
      unordered asynchronous communication.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, grid computing, 
      internet programming languages},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/gpc2006.pdf}
}

@TECHREPORT{wang-varela-snapshot-tr-2006,
   OPTADDRESS   = {},
   AUTHOR       = {Wei-Jen Wang and Carlos A. Varela},
   INSTITUTION  = {Dept. of Computer Science, R.P.I.},
   MONTH        = {October},
   OPTNOTE      = {},
   NUMBER       = {06-15},
   TITLE        = {A Non-blocking Snapshot Algorithm for Distributed 
      Garbage Collection of Mobile Active Objects},
   OPTTYPE      = {},
   YEAR         = {2006},
   ABSTRACT     = {Distributed actor garbage collection differs from 
      distributed object garbage collection in that it needs to consider 
      in-transit message detection, unordered message reception, and actor 
      migration. In this paper, we propose a new snapshot-based distributed 
      actor garbage collection algorithm. The algorithm does not require 
      First-In-First-Out or blocking communication, nor message logging. 
      Furthermore, actor migration is allowed while capturing global 
      snapshots and partial snapshots can be safely used to collect 
      garbage, therefore not requiring comprehensive cooperation among all 
      computing nodes. These features make it unique in the area of 
      distributed garbage collection. We formally prove the following 
      safety and conditional liveness properties of the algorithm: 1) the 
      garbage in a global snapshot, created by composing several local 
      snapshots, remains the same from the beginning to the end of the 
      global snapshot algorithm, and 2) garbage is eventually collected if 
      the global garbage collection algorithm is periodically activated and 
      every blocked actor is always captured before a global garbage 
      collection phase is triggered.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, grid computing, middleware},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://www.cs.rpi.edu/research/pdf/06-15.pdf}
}

@TECHREPORT{wang-varela-dgc-tr-2006,
   OPTADDRESS   = {},
   AUTHOR       = {Wei-Jen Wang and Carlos A. Varela},
   INSTITUTION  = {Dept. of Computer Science, R.P.I.},
   MONTH        = {February},
   NOTE         = {Extended Version of GPC'06 Paper},
   NUMBER       = {06-04},
   TITLE        = {Distributed Garbage Collection for Mobile Actor Systems: 
      The Pseudo Root Approach},
   OPTTYPE      = {},
   YEAR         = {2006},
   ABSTRACT     = {Automatic distributed garbage collection (GC) gives 
      abstraction to grid application development, promoting code quality 
      and improving resource management. Unreachability of active objects 
      or actors from the root set is not a sufficient condition to collect 
      actor garbage, making passive object GC algorithms unsafe when 
      directly used on actor systems. In practical actor languages, all 
      actors have references to the root set since they can interact with 
      users, e.g., through standard input or output streams. Based on this 
      observation, we introduce pseudo roots: a dynamic set of actors that 
      can be viewed as the root set. Pseudo roots use protected 
      (undeletable) references to ensure that no actors are erroneously 
      collected even with messages in transit. Following this idea, we 
      introduce a new direction of actor GC, and demonstrate it by 
      developing a distributed GC framework. The framework can thus be used 
      for automatic life time management of mobile reactive processes with 
      unordered asynchronous communication.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, grid computing, 
      internet programming languages},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/b2.pdf}
}

@MISC{morali-actrust-2006,
   AUTHOR       = {Ayse Morali},
   HOWPUBLISHED = {Master Thesis. Technische Universität Darmstadt},
   MONTH        = {April},
   OPTNOTE      = {},
   TITLE        = {AcTrust: A Security Model for Trust-based Computing},
   YEAR         = {2006},
   ABSTRACT     = {The role of distributed system in our daily life is 
      getting more and more important. The resources of the cyber world are 
      consumed by peers independent from their physical locations, mobile 
      codes interact with each other and their environment on behalf of 
      people. Grid computing provides potential benefits to applications, 
      but as the responsibilities and the intelligence of such systems 
      increase, security threats that they pose to the applications 
      increases, too. In order to prevent these distributed systems from 
      attacks, they have to be adjusted with secure components. In such 
      systems, openness and dynamic reconfiguration is also inevitable for 
      scalability. Furthermore, transparent information flow between the 
      peers can help increase the efficacy for its participants and reduce 
      userâs cognitive load. In this thesis, we describe a reputation 
      based trust model including a language and its operational semantics, 
      in order to reason about security problems of open and distributed 
      systems, as well as to prove its main security properties. We 
      furthermore, give some examples based on two common application 
      fields of distributed computing: e-commerce and distributed file 
      sharing.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {internet programming languages, electronic commerce, 
      cyber physical systems},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/MoraliMSThesis.pdf}
}

@BOOK{varela-wwcj-2005,
   ADDRESS      = {Amsterdam},
   OPTEDITION   = {},
   EDITOR       = {Carlos A. Varela and Paolo Ciancarini and Kenjiro Taura},
   MONTH        = {December},
   OPTNOTE      = {},
   NUMBER       = {4},
   PUBLISHER    = {IOS Press},
   OPTSERIES    = {},
   TITLE        = {Scientific Programming Journal Special Issue on Dynamic 
      Grids and Worldwide Computing},
   VOLUME       = {13},
   YEAR         = {2005},
   OPTABSTRACT  = {},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, grid computing},
   URL          = {http://iospress.metapress.com/openurl.asp?genre=issue&issn=1058-9244&volume=13&issue=4},
   OPTURL-PUBLISHER = {}
}

@ARTICLE{varela-wwc-2005,
   AUTHOR       = {Carlos A. Varela and Paolo Ciancarini and Kenjiro Taura},
   JOURNAL      = {Scientific Programming Journal},
   MONTH        = {December},
   NOTE         = {Guest Editorial},
   NUMBER       = {4},
   PAGES        = {255--263},
   TITLE        = {Worldwide computing: Adaptive middleware and programming 
      technology for dynamic Grid environments},
   VOLUME       = {13},
   YEAR         = {2005},
   OPTABSTRACT  = {},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, grid computing, middleware, 
      internet programming languages},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/spj2005.pdf}
}

@INCOLLECTION{elmaghraoui-ios-2005,
   OPTADDRESS   = {},
   AUTHOR       = {Kaoutar El Maghraoui and Travis Desell and 
      Boleslaw K. Szymanski and James D. Teresco and Carlos A. Varela},
   BOOKTITLE    = {Grid Computing and New Frontiers of High Performance Processing},
   OPTCHAPTER   = {},
   OPTEDITION   = {},
   EDITOR       = {L. Grandinetti},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   PAGES        = {275--301},
   PUBLISHER    = {Elsevier},
   SERIES       = {Advances in Parallel Computing},
   TITLE        = {Towards a Middleware Framework for Dynamically 
      Reconfigurable Scientific Computing},
   OPTTYPE      = {},
   VOLUME       = {14},
   YEAR         = {2005},
   ABSTRACT     = {Computational grids are appealing platforms for the 
      execution of large scale applications among the scientific and 
      engineering communities. However, designing new applications and 
      deploying existing ones with the capability of exploiting this 
      potential still remains a challenge. Computational grids are 
      characterized by their dynamic, non-dedicted, and heterogeneous 
      nature. Novel application-level and middleware-level techniques are 
      needed to allow applications to reconfigure themselves and adapt 
      automatically to their underlying execution environments. In this 
      paper, we introduce a new software framework that enhances the 
      performance of Message Passing Interface (MPI) applications through 
      an adaptive middleware for load balancing that includes process 
      checkpointing and migration. Fields as diverse as fluid dynamics, 
      materials science, biomechanics, and ecology make use of parallel 
      adaptive computation. Target architectures have tradititionally been 
      supercomputers and tightly coupled clusters. This framework is a 
      first step in allowing these computations to use computational grids 
      efficiently.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {concurrent programming, distributed computing, 
      grid computing, middleware},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/b10.pdf}
}

@INPROCEEDINGS{field-varela-transactors-2005,
   ADDRESS      = {Long Beach, CA},
   AUTHOR       = {J. Field and C. A. Varela},
   BOOKTITLE    = {ACM Conference on Principles of Programming Languages (POPL 2005)},
   OPTEDITOR    = {},
   MONTH        = {January},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {195--208},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Transactors: A Programming Model for Maintaining 
      Globally Consistent Distributed State in Unreliable Environments},
   OPTVOLUME    = {},
   YEAR         = {2005},
   ABSTRACT     = {We introduce transactors, a fault-tolerant programming 
      model for composing loosely-coupled distributed components running in 
      an unreliable environment such as the internet into systems that 
      reliably maintain globally consistent distributed state. The 
      transactor model incorporates certain elements of traditional 
      transaction processing, but allows these elements to be composed in 
      different ways without the need for central coordination, thus 
      facilitating the study of distributed fault-tolerance from a semantic 
      point of view. We formalize our approach via the Ï-calculus, an 
      extended lambda-calculus based on the actor model, and illustrate its 
      usage through a number of examples. The Ï-calculus incorporates 
      constructs which distributed processes can use to create 
      globally-consistent checkpoints. We provide an operational semantics 
      for the Ï-calculus, and formalize the following safety and liveness 
      properties: first, we show that globally-consistent checkpoints have 
      equivalent execution traces without any node failures or 
      application-level failures, and second, we show that it is possible 
      to reach globally-consistent checkpoints provided that there is some 
      bounded failure-free interval during which checkpointing can occur.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, concurrent programming, 
      coordination models},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/popl2005.pdf}
}

@INPROCEEDINGS{elmaghraoui-iosmpi-ppam-2005,
   ADDRESS      = {Poznan, Poland},
   AUTHOR       = {Kaoutar El Maghraoui and Boleslaw Szymanski and 
      Carlos A. Varela},
   BOOKTITLE    = {Proc. of the Sixth International Conference on Parallel Processing and Applied Mathematics (PPAM'2005)},
   EDITOR       = {R. Wyrzykowski and J. Dongarra and N. Meyer and 
      J. Wasniewski},
   MONTH        = {September},
   OPTNOTE      = {},
   NUMBER       = {3911},
   OPTORGANIZATION = {},
   PAGES        = {258--271},
   OPTPUBLISHER = {},
   SERIES       = {LNCS},
   TITLE        = {An Architecture for Reconfigurable Iterative MPI 
      Applications in Dynamic Environments},
   OPTVOLUME    = {},
   YEAR         = {2005},
   ABSTRACT     = {With the proliferation of large scale dynamic execution 
      environments such as grids, the need for providing efficient and 
      scalable application adaptation strategies for long running parallel 
      and distributed applications has emerged. Message passing interfaces 
      have been initially designed with a traditional machine model in mind 
      which assumes homogeneous and static environments. It is inevitable 
      that long running message passing applications will require support 
      for dynamic reconfiguration to maintain high performance under 
      varying load conditions. In this paper we describe a framework that 
      provides iterative MPI applications with reconfiguration 
      capabilities. Our approach is based on integrating MPI applications 
      with a middleware that supports process migration and large scale 
      distributed application reconfiguration. We present our architecture 
      for reconfiguring MPI applications, and verify our design with a heat 
      diffusion application in a dynamic setting.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {concurrent programming, distributed computing, 
      grid computing, middleware},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/ppam05.pdf}
}

@INPROCEEDINGS{morali-emarketplace-clei-2005,
   ADDRESS      = {Cali, Colombia},
   AUTHOR       = {Ayse Morali and Leonardo Varela and Carlos A. Varela},
   BOOKTITLE    = {XXXI Conferencia Latinoamericana de Informática},
   OPTEDITOR    = {},
   MONTH        = {October},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {573--586},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {An Electronic Marketplace: Agent-based Coordination 
      Models for Online Auctions},
   OPTVOLUME    = {},
   YEAR         = {2005},
   ABSTRACT     = {Different coordination models exist for managing 
      concurrency in complex distributed systems, for example, direct 
      interaction, tuple spaces, hierarchical structures, and 
      publish-and-subscribe mechanisms. Online auctions are complex 
      distributed systems, where the choice of coordination model can 
      significantly impact the performance of multiple software agents, 
      acting on behalf of human buyers and sellers. In this paper, we 
      evaluate analytically and experimentally different auction types and 
      coordination models in an electronic marketplace. Three important 
      metrics are: the number of software agents, the number of messages 
      exchanged between these agents, and the number of migrations 
      performed by the agents. We conclude that dynamically choosing the 
      number of agents and the coordination model can improve quality of 
      service in electronic commerce applications. Furthermore, in online 
      auctions where there is a lot of interaction between software agents, 
      migration of agents to virtual stores and local bidding is more fair 
      and efficient than using remote interaction. This observation has the 
      potential to significantly improve and redefine existing online 
      auction systems such as eBay},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {electronic commerce, concurrent programming, 
      software agents, cyber physical systems},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/clei2005ec.pdf}
}

@INPROCEEDINGS{Purnell05A,
   OPTADDRESS   = {},
   AUTHOR       = {Jon Purnell and Malik Magdon-Ismail and Heidi Jo Newberg},
   BOOKTITLE    = {Foundations of Intelligent Systems},
   OPTEDITOR    = {},
   OPTMONTH     = {},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {485--493},
   PUBLISHER    = {Springer Berlin / Heidelberg},
   OPTSERIES    = {},
   TITLE        = {A Probabilistic Approach to Finding Geometric Objects in 
      Spatial Datasets of the Milky Way},
   VOLUME       = {3488/2005},
   YEAR         = {2005},
   ABSTRACT     = {Data from the Sloan Digital Sky Survey has given 
      evidence of structures within the Milky Way halo from other nearby 
      galaxies. Both the halo and these structures are approximated by 
      densities based on geometric objects. A model of the data is formed 
      by a mixture of geometric densities. By using an EM-style algorithm, 
      we optimize the parameters of our model in order to separate out 
      these structures from the data and thus obtain an accurate dataset of 
      the Milky Way.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {scientific computing, distributed computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {}
}

@INPROCEEDINGS{tolman-varela-fhns-clei-2005,
   ADDRESS      = {Cali, Colombia},
   AUTHOR       = {Camron Tolman and Carlos A. Varela},
   BOOKTITLE    = {XXXI Conferencia Latinoamericana de Informática},
   OPTEDITOR    = {},
   MONTH        = {October},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {A Fault-Tolerant Home-Based Naming Service For Mobile 
      Agents},
   OPTVOLUME    = {},
   YEAR         = {2005},
   ABSTRACT     = {A naming service is in charge of locating a mobile agent 
      in a distributed system given its name. Three critical 
      characteristics of a naming service are: fault tolerance, 
      scalability, and efficient name resolution. Most naming services 
      provide support for efficient name resolution but do not address 
      fault tolerance or scalability issues. Conversely, distributed 
      hash-table approaches to naming provide fault tolerance and 
      scalability albeit at a sacrificed name resolution performance. We 
      introduce a Fault-Tolerant Home-Based Naming Service (FHNS) that is 
      robust and scalable yet enabling efficient name resolution.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, grid computing, middleware, 
      software agents},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/clei2005fhns.pdf}
}

@TECHREPORT{elmaghraoui-ios-tr-2005,
   OPTADDRESS   = {},
   AUTHOR       = {Kaoutar El Maghraoui and Travis J. Desell and 
      Carlos A. Varela},
   INSTITUTION  = {Rensselaer Polytechnic Institute Department of Computer Science},
   OPTMONTH     = {},
   OPTNOTE      = {},
   NUMBER       = {05-03},
   TITLE        = {Network Sensitive Reconfiguration of Distributed 
      Applications},
   OPTTYPE      = {},
   YEAR         = {2005},
   ABSTRACT     = {Large-scale, dynamic, and heterogeneous networks of 
      computational resources promise to provide high performance and 
      scalability to computationally intensive applications, but these 
      environments also introduce the need for complex resource management 
      strategies. This paper introduces actor-based programming 
      abstractions and a middleware framework to relieve developers from 
      considering non-functional concerns while allowing middleware layers 
      to optimize application performance and global resource utilization. 
      The Internet Operating System (IOS) consists of a peer-to-peer 
      virtual network of middleware agents that trigger application 
      component reconfiguration based on changes in the underlying physical 
      network and based on the application communication patterns and 
      resource consumption. IOS middleware agents are highly customizable 
      to account for different resource profiling, load balancing, and 
      peer-to-peer interconnection policies. Despite the lack of global 
      coordination and information management, IOS exhibited the ability to 
      reconfigure distributed applications effectively improving their 
      performance over highly dynamic networks. Diverse application 
      communication topologies were tested on Internet-like and Grid-like 
      environments using two middleware agent interconnection topologies: 
      peer-to-peer (p2p) and cluster-tocluster (c2c). In most cases, p2p 
      agent topologies outperformed c2c agent topologies for Internet-like 
      environments; while c2c agent topologies outperformed p2p agent 
      topologies for Grid-like environments. Our empirical results show 
      also that using group migration of application components to perform 
      load balancing outperforms single migration for the four studied 
      application topologies. These empirical results suggest that adaptive 
      middleware is needed to dynamically change the virtual network 
      topology based on application-level communication patterns and 
      network-level interconnectivity to improve distributed applications 
      performance.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, concurrent programming, 
      grid computing, middleware},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://www.cs.rpi.edu/research/pdf/05-03.pdf}
}

@TECHREPORT{teresco-pp-2005,
   OPTADDRESS   = {},
   AUTHOR       = {James D. Teresco and Joseph E. Flaherty and 
      Scott B. Baden and Jamal Faik and Sébastien Lacour and 
      Manish Parashar and Valerie E. Taylor and Carlos A. Varela},
   INSTITUTION  = {Williams College Department of Computer Science},
   OPTMONTH     = {},
   NOTE         = {Submitted to  Proc. PP'04: Frontiers of Scientific Computing},
   NUMBER       = {CS-04-09},
   TITLE        = {Approaches to Architecture-Aware Parallel Scientific 
      Computation},
   OPTTYPE      = {},
   YEAR         = {2005},
   ABSTRACT     = {Modern parallel scientific computation is being 
      performed in a wide variety of computational environments that 
      include clusters, large-scale supercomputers, grid environments, and 
      metacomputing environments. This presents challenges for application 
      and library developers, who must develop architecture-aware software 
      if they wish to utilize several computing platforms efficiently. 
      Architecture-aware computation can be beneficial in single-processor 
      environments. It takes the form of something as common as an 
      optimizing compiler, which will optimize software for a target 
      computer. Application and library developers may adjust data 
      structures or memory management techniques to improve cache 
      utilization on a particular system.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {grid computing, scientific computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://www.cs.williams.edu/~terescoj/research/publications/pp04/pp04.pdf}
}

@MASTERSTHESIS{kulkarni-apicalculus-2005,
   OPTADDRESS   = {},
   AUTHOR       = {Mayuresh Kulkarni},
   MONTH        = {July},
   OPTNOTE      = {},
   SCHOOL       = {Rensselaer Polytechnic Institute},
   TITLE        = {A Calculus for Distributed Mobile Computing with Static 
      Resource Access and Usage Control},
   OPTTYPE      = {},
   YEAR         = {2005},
   ABSTRACT     = {We propose a process algebraic model of a distributed 
      system with resource access and usage control. Our system has notions 
      of explicitly located mobile agents, migration of agents between 
      locations, location-transparent asynchronous directed communication 
      (local and remote), local resources within locations and local 
      resource access using synchronous communication. Thus, agents can 
      communicate with local and remote agents but to access a resource, 
      they have to migrate to the appropriate location and then establish a 
      dedicated channel to communicate with the resource. We statically 
      guarantee bounded usage of resources. The bound on the usage of a 
      resource may be linearly distributed amongst other agents (including 
      newly spawned agents). Our system borrows certain concepts from the 
      Ï-calculus, the actor model and mobile ambients. The type system to 
      enforce resource access and bounded resource usage is inspired by 
      ideas for resource access control found in the DÏ calculus and 
      linear type systems.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {coordination models, concurrent programming},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/KulkarniMSThesis.pdf}
}

@MISC{morali-secureecommerce-2005,
   AUTHOR       = {Ayse Morali},
   HOWPUBLISHED = {Bachelor Thesis. Technische Universität Darmstadt},
   MONTH        = {June},
   OPTNOTE      = {},
   TITLE        = {Security Aspects of Digital Actors},
   YEAR         = {2005},
   ABSTRACT     = {Online computations are getting more and more embedded 
      into the daily life of people, in particular, they have practical 
      applications in electronic commerce. In the cyber world, mobile codes 
      interact with each other and their environment on behalf of sellers 
      and buyers of the real world. Mobile code technologies provide 
      potential benefits to applications, but as the responsibilities and 
      the complexity of mobile codes increase, the variety of security 
      threats that imposed the applications increases as well. In order to 
      protect these inherently distributed systems from attacks, their 
      components have to consider security aspects, without giving up 
      flexibility. Transparent information flow between the mobile codes 
      and their environment can help increase efficiency for its 
      participants and reduce userâs cognitive load, yet add points of 
      vulnerability to the system. In this thesis we describe a middleware 
      framework for online auctions, in order to illustrate security 
      problems in electronic commerce applications and suggest potential 
      solutions. This middleware framework is a model of a futuristic 
      electronic marketplace, consisting of various management components 
      and electronic stores. In the electronic stores, the mobile codes, 
      embedded in software agents, representing sellers and buyers, come 
      together, in order to fulfill their duties. Furthermore, we describe 
      a set of security requirements of the electronic marketplace. We then 
      survey different models of mobile code in distributed computations, 
      including actors, secure mobile actors, transactors, casts and 
      directors, and mobile ambients. We then classify and compare these 
      models according to their applicability to the security of the 
      electronic marketplace scenario. We demonstrate how additional 
      security instruments, such as proof-carrying code and cryptographic 
      techniques, can be incorporated to these models in order to fulfill 
      the security requirements of the marketplace electronic commerce 
      applications. In summary, we investigated the conflicting design 
      goals of openness and security in electronic commerce applications. 
      This research is a first step in achieving the goal of building open 
      yet secure electronic commerce systems.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {electronic commerce, cyber physical systems},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/MoraliBSThesis.pdf}
}

@INCOLLECTION{agha-varela-wwcmiddleware-2004,
   OPTADDRESS   = {},
   AUTHOR       = {Gul Agha and Carlos A. Varela},
   BOOKTITLE    = {Practical Handbook on Internet Computing},
   OPTCHAPTER   = {},
   OPTEDITION   = {},
   EDITOR       = {M. Singh},
   OPTMONTH     = {},
   NOTE         = {invited book chapter},
   OPTNUMBER    = {},
   OPTPAGES     = {},
   PUBLISHER    = {CRC Press},
   OPTSERIES    = {},
   TITLE        = {Worldwide Computing Middleware},
   OPTTYPE      = {},
   OPTVOLUME    = {},
   YEAR         = {2004},
   ABSTRACT     = {Widely distributed applications using Internet resources 
      for computing require complex resource naming, discovery, 
      coordination, and management policies. Software complexity is dealt 
      with by developers with middleware, software layers dealing with 
      distribution issues, such as naming, mobility, security, load 
      balancing, and fault-tolerance. Middleware enables application 
      developers to concentrate on their domain of expertise, reducing code 
      and complexity by orders of magnitude. We discuss different aspects 
      of middleware infrastructures and we present the WorldWide Computer, 
      our own worldwide computing infrastructure with naming, mobility, and 
      coordination middleware layers, facilitating Internet-based 
      distributed systems development.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, grid computing, middleware},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/chmiddleware.pdf},
   PS           = {http://wcl.cs.rpi.edu/papers/chmiddleware.ps}
}

@INPROCEEDINGS{desell-overview-2004,
   ADDRESS      = {Barcelona, Spain},
   AUTHOR       = {Travis Desell and H. Iyer and Abe Stephens and 
      Carlos A. Varela},
   BOOKTITLE    = {Proceedings of the European Joint Conferences on Theory and Practice of Software (ETAPS 2004), eclipse Technology eXchange (eTX) Workshop},
   OPTEDITOR    = {},
   MONTH        = {March},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {87--101},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {OverView: A Framework for Generic Online Visualization 
      of Distributed Systems},
   VOLUME       = {17},
   YEAR         = {2004},
   ABSTRACT     = {Visualizing, testing and debugging distributed systems 
      is a challenging task that is not well ad- dressed by conventional 
      software tools. OverView, an event-based Eclipse plug-in that 
      provides runtime visualization of systems running on distributed Java 
      virtual machines is presented. In the same way that the coding and 
      debugging tools in Eclipse make writing software more accessible by 
      visually representing both a program's static components: packages, 
      classes, and interfaces, as well as a program's dynamic components: 
      objects, threads, and invocation stacks; OverView in- tends to make 
      distributed systems more accessible to programmers by creating an 
      analogous visual workspace with appropriate abstractions for 
      distributed component naming, state, location, remote communication, 
      and migration. Overview is a generic visualization framework that 
      uses an Entity Specification Language (ESL) to enable developers to 
      map high-level concurrency and distribution abstractions into 
      lower-level Java threads, network connections and objects.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, 
      distributed systems visualization, software agents, middleware},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/etaps2004.pdf}
}

@INPROCEEDINGS{desell-ios-hicss-2004,
   OPTADDRESS   = {},
   AUTHOR       = {Travis Desell and Kaoutar El Maghraoui and 
      Carlos A. Varela},
   BOOKTITLE    = {Proceedings of the Hawaii International Conference on System Sciences, HICSS-37 Software Technology Track},
   OPTEDITOR    = {},
   MONTH        = {January},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {1--10},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Load Balancing of Autonomous Actors over Dynamic 
      Networks},
   OPTVOLUME    = {},
   YEAR         = {2004},
   ABSTRACT     = {The Internet is constantly growing as a ubiquitous 
      platform for high-performance distributed computing. In this paper, 
      we propose a new software framework for distributed computing over 
      large scale dynamic and heterogeneous systems. Our framework wraps 
      computation into autonomous actors, self organizing computing 
      entities, which freely roam over the network to find their optimal 
      target execution environments. We introduce the architecture of our 
      worldwide computing framework, which consists of an actor-oriented 
      programming language (SALSA), a distributed run time environment 
      (WWC), and a middleware infrastructure for autonomous reconfiguration 
      and load balancing (IO). Load balancing is completely transparent to 
      application programmers. The middleware triggers actor migration 
      based on profiling resources in a completely decentralized manner. 
      Our infrastructure also allows for the dynamic addition and removal 
      of nodes from the computation, while continuously balancing the load 
      given the changing resources. To balance computational load, we 
      introduce three variations of random work stealing: load-sensitive 
      (RS), actor topology-sensitive (ARS), and network topology-sensitive 
      (NRS) random stealing. We evaluated RS and ARS with several actor 
      interconnection topologies in a local area network. While RS 
      performed worse than static round-robin (RR) actor placement, ARS 
      outperformed both RS and RR in the sparse connectivity and hypercube 
      connectivity tests, by a full order of magnitude},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, grid computing, software agents, 
      middleware},
   URL          = {http://doi.ieeecomputersociety.org/10.1109/HICSS.2004.10046},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/desel04.pdf}
}

@TECHREPORT{field-varela-transactors-tr-2004,
   ADDRESS      = {Troy, NY},
   AUTHOR       = {J. Field and C. A. Varela},
   INSTITUTION  = {Rensselaer Polytechnic Institute Department of Computer Science},
   MONTH        = {December},
   NOTE         = {Includes proofs of theorems in POPL'05 paper},
   NUMBER       = {15},
   TITLE        = {Transactors: A Programming Model for Maintaining 
      Globally Consistent Distributed State in Unreliable Environments},
   OPTTYPE      = {},
   YEAR         = {2004},
   ABSTRACT     = {We introduce transactors, a fault-tolerant programming 
      model for composing loosely-coupled distributed components running in 
      an unreliable environment such as the internet into systems that 
      reliably maintain globally consistent distributed state. The 
      transactor model incorporates certain elements of traditional 
      transaction processing, but allows these elements to be composed in 
      different ways without the need for central coordination, thus 
      facilitating the study of distributed fault-tolerance from a semantic 
      point of view. We formalize our approach via the Ï-calculus, an 
      extended lambda-calculus based on the actor model, and illustrate its 
      usage through a number of examples. The Ï-calculus incorporates 
      constructs which distributed processes can use to create 
      globally-consistent checkpoints. We provide an operational semantics 
      for the Ï-calculus, and formalize the following safety and liveness 
      properties: first, we show that globally-consistent checkpoints have 
      equivalent execution traces without any node failures or 
      application-level failures, and second, we show that it is possible 
      to reach globally-consistent checkpoints provided that there is some 
      bounded failure-free interval during which checkpointing can occur.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, concurrent programming, 
      coordination models},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/b8.pdf}
}

@TECHREPORT{elmaghraoui-salsampi-2004,
   OPTADDRESS   = {},
   AUTHOR       = {Kaoutar El Maghraoui and Carlos A. Varela and 
      Boleslaw K. Szymanski and Joseph E. Flaherty and James D. Teresco},
   INSTITUTION  = {Williams College Department of Computer Science},
   OPTMONTH     = {},
   OPTNOTE      = {},
   NUMBER       = {CS-04-09},
   TITLE        = {A Middleware Framework for Dynamically Reconfigurable 
      MPI Applications},
   OPTTYPE      = {},
   YEAR         = {2004},
   ABSTRACT     = {Computational grids are characterized by their dynamic, 
      non-dedicated, and heterogeneous nature. Novel application-level and 
      middleware-level techniques are needed to allow applications to 
      reconfigure themselves and adapt automatically to their underlying 
      execution environments to be able to benefit from computational 
      gridsâ resources. In this paper, we introduce a new software 
      framework that enhances the Message Passing Interface (MPI) 
      performance through process checkpointing, migration, and an adaptive 
      middleware for load balancing. Fields as diverse as fluid dynamics, 
      material science, biomechanics, and ecology make use of parallel 
      adaptive computation where target architectures have traditionally 
      been supercomputers and tightly coupled clusters. This framework is a 
      first step in allowing these computations to use computational grids 
      efficiently. Preliminary results demonstrate that application 
      reconfiguration through middleware-triggered process migration 
      achieved performance improvement in the range of 33\% to 79\%.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, grid computing, middleware},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/b9.pdf}
}

@MASTERSTHESIS{holmes-vc-2004,
   OPTADDRESS   = {},
   AUTHOR       = {Terrell Holmes},
   MONTH        = {June},
   OPTNOTE      = {},
   SCHOOL       = {Rensselaer Polytechnic Institute},
   TITLE        = {Software Version Control in Open Distributed Systems},
   OPTTYPE      = {},
   YEAR         = {2004},
   OPTABSTRACT  = {},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {software agents},
   OPTURL       = {},
   OPTURL-PUBLISHER = {}
}

@MASTERSTHESIS{kelkar-gfdc-2004,
   OPTADDRESS   = {},
   AUTHOR       = {Shailesh Kelkar},
   MONTH        = {July},
   OPTNOTE      = {},
   SCHOOL       = {Rensselaer Polytechnic Institute},
   TITLE        = {A Generic Framework for Distributed Computation},
   OPTTYPE      = {},
   YEAR         = {2004},
   ABSTRACT     = {With the increase in bandwidth and interconnection of 
      computers, there has been an increasing adoption of the distributed 
      computing paradigm to solve computationally intensive problems that 
      would normally take a long time if solved on a single computer. 
      However, the development of programming languages and libraries 
      specifically developed for distributed programming tasks such as 
      efficient work distribution, network setup, load balancing, and 
      dynamic reconfiguration has been slow. This results in inefficient 
      implementations and considerable time spent in developing distributed 
      computing specific parts, rather than actual application development. 
      The issues that were identified earlier in distributed application 
      development span programming languages, library support, and run-time 
      systems. This thesis addresses these issues mainly at the library 
      level, with some programming language level and runtime level 
      support. This thesis identifies and develops abstractions, to enable 
      designing and developing generic components, and libraries for 
      distributed computations. It uses a Generic Software Design 
      Methodology to design these abstractions and to enable maximum reuse, 
      flexibility, and efficiency. A Generic Framework for Distributed 
      Computing - GFDC developed in this thesis can be used in a broad 
      range of distributed applications implemented using different 
      technologies and programming languages. Java has emerged as a 
      platform of choice for developing distributed applications. This 
      thesis provides an implementation of GFDC in Java, as a set of 
      generic libraries. For a class of problems, which need 
      reconfiguration and migration, researchers in the Worldwide Computing 
      Laboratory at Rensselaer Polytechnic Institute are developing the 
      SALSA programming language. The generic libraries that are developed 
      in Java are transparently integrated with SALSA. GFDC and its 
      implementation handle the distributed computing tasks and allow 
      programmers to concentrate on the actual application development. 
      This results in a flexible and efficient implementation along with 
      reduced development time for the distributed applications. The 
      programmers who have little or no knowledge of distributed computing 
      issues should be able to develop applications using GFDC. At the same 
      time, GFDC and its implementation is extensible to enable advanced 
      programmers to customize and enhance it, to tackle specific 
      distributed computing issues.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, grid computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/gfdc/Shailesh_MS_Thesis.pdf}
}

@ARTICLE{field-varela-transactors-entcs-2003,
   AUTHOR       = {J. Field and C. A. Varela},
   EDITOR       = {A. Brogi and J.M. Jacquet},
   JOURNAL      = {Electronic Notes in Theoretical Computer Science},
   MONTH        = {March},
   NOTE         = {invited journal paper},
   NUMBER       = {3},
   PAGES        = {1--19},
   PUBLISHER    = {Elsevier},
   TITLE        = {Toward a Programming Model for Building Reliable Systems 
      with Distributed State},
   VOLUME       = {68},
   YEAR         = {2003},
   ABSTRACT     = {We present the preliminary design of a programming model 
      for building reliable systems with distributed state from collections 
      of potentially unreliable components. Our transactor model provides 
      constructs for maintaining consistency among the states of 
      distributed components. Our intention is that transactors should 
      support key aspects of both traditional distributed transactions, 
      e.g., for electronic commerce, and systems with weaker consistency 
      requirements, e.g., peer-to-peer file- and process-sharing systems. 
      In this paper, we motivate the need for language support for 
      maintenance of distributed state, describe the design goals for the 
      transactor model, provide an operational semantics for a simple 
      transactor calculus, and provide several examples of applications of 
      the transactor model in a higher-level language.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, concurrent programming, 
      coordination models},
   URL          = {http://www.elsevier.nl/locate/entcs/volume68.html},
   OPTURL-PUBLISHER = {},
   PDF          = {http://www.cs.rpi.edu/~cvarela/entcs2003.pdf}
}

@INPROCEEDINGS{elmaghraoui-salsampi-ppam-2003,
   ADDRESS      = {Czestochowa, Poland},
   AUTHOR       = {Kaoutar El Maghraoui and J. Flaherty and B. Szymanski and 
      J. Teresco and Carlos A. Varela},
   BOOKTITLE    = {Proc. of the Fifth International Conference on Parallel Processing and Applied Mathematics (PPAM'2003)},
   OPTEDITOR    = {},
   MONTH        = {September},
   OPTNOTE      = {},
   NUMBER       = {3019},
   OPTORGANIZATION = {},
   PAGES        = {1083--1090},
   OPTPUBLISHER = {},
   SERIES       = {LNCS},
   TITLE        = {Adaptive Computation over Dynamic and Heterogeneous 
      Networks},
   OPTVOLUME    = {},
   YEAR         = {2003},
   ABSTRACT     = {Over the last two decades, efficient message passing 
      libraries have been developed for parallel scientific computation. 
      Concurrently, programming languages have been created supporting 
      dynamically reconfigurable distributed systems over the heterogeneous 
      Internet. In this paper, we introduce SALSA-MPI, an actor programming 
      language approach to scientific computing that extends MPI with a 
      checkpointing and migration API and a runtime system that manages 
      both periodic checkpoints and process or application migration. The 
      goal is to enable dynamic network reconfiguration and load balancing 
      without sacrificing application performance or requiring extensive 
      code modifications. As driving technology for this effort of unifying 
      parallel and distributed computing, we plan to use adaptive solvers 
      of partial differential equations. Fields as diverse as fluid 
      dynamics, material science, biomechanics, and ecology make use of 
      parallel adaptive computation, but target architectures have 
      traditionally been supercomputers and tightly-coupled clusters. 
      SALSA-MPI is intended to allow these computations to make efficient 
      use of more distributed and dynamic computing resources.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {grid computing, middleware},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/elmagk03.pdf}
}

@INPROCEEDINGS{szymanski-iosphysics-ppam-2003,
   ADDRESS      = {Czestochowa, Poland},
   AUTHOR       = {B. Szymanski and Carlos A. Varela and J. Cummings and 
      J. Napolitano},
   BOOKTITLE    = {Proc. of the Fifth International Conference on Parallel Processing and Applied Mathematics (PPAM'2003)},
   OPTEDITOR    = {},
   MONTH        = {September},
   NOTE         = {invited paper},
   NUMBER       = {3019},
   OPTORGANIZATION = {},
   PAGES        = {419-430},
   OPTPUBLISHER = {},
   SERIES       = {LNCS},
   TITLE        = {Dynamically Reconfigurable Scientific Computing on 
      Large-Scale Heterogeneous Grids},
   VOLUME       = {3019},
   YEAR         = {2003},
   ABSTRACT     = {Many scientific applications require computational 
      capabilities not easily supported by current computing environments. 
      We propose a scalable computing environment based on autonomous 
      actors. In this approach, a wide range of computational resources, 
      ranging from clusters to desktops and laptops, can run an application 
      programmed using actors as program components in an actor language: 
      SALSA. SALSA actors have the ability to execute autonomously in 
      dynamically reconfigurable computing environments. We develop the 
      corresponding âInternet Operating systemâ (IO) to address 
      run-time middleware issues such as permanent storage for results 
      produced by actors, inter-actor communication and synchronization, 
      and fault-tolerance in a manner transparent to the end-user. We are 
      using this worldwide computing software infrastructure to solve a 
      long outstanding problem in particle physics: the missing baryons, 
      originally identified over thirty years ago.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, grid computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PS           = {http://wcl.cs.rpi.edu/papers/IPszymanski.ps}
}

@INPROCEEDINGS{toll-varela-smal-2003,
   ADDRESS      = {Darmstadt, Germany},
   AUTHOR       = {Robin Toll and Carlos A. Varela},
   BOOKTITLE    = {Proceedings of the 9th ECOOP Workshop on Mobile Object Systems},
   OPTEDITOR    = {},
   MONTH        = {July},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Mobility and Security in Worldwide Computing},
   OPTVOLUME    = {},
   YEAR         = {2003},
   ABSTRACT     = {Modern distributed computing requires a secure framework 
      capable of free code mobility. In this paper, we present a simple 
      lambda-based actor language with extensions for mobility and 
      security, as well as the operational semantics to reason about these 
      topics in distributed systems. Finally, we describe our preliminary 
      implementation results},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, grid computing, software agents, 
      internet programming languages},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/ecoopws2003Full.pdf}
}

@TECHREPORT{iyer-overview-2003,
   OPTADDRESS   = {},
   AUTHOR       = {Harihar N. Iyer and Abe Stephens and Travis Desell and 
      Carlos A. Varela},
   INSTITUTION  = {Rensselaer Polytechnic Institute Worldwide Computing Laboratory},
   MONTH        = {August},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   TITLE        = {OverView - Dynamic Visualization of Java-Based Highly 
      Reconfigurable Distributed Systems},
   OPTTYPE      = {},
   YEAR         = {2003},
   ABSTRACT     = {Online visualization enables developers to test, debug, 
      and monitor the behavior of distributed systems, while they are 
      running. While important in software development, online 
      visualization of distributed systems is largely unaddressed by 
      conventional tools. Distributed systems are often programmed using 
      high-level abstractions that facilitate reasoning about them, e.g., 
      actors, processes, sessions, or ambients. OverView is an entity 
      specification language-driven Eclipse plug-in for visualization of 
      distributed systems that preserves the high level of abstraction, and 
      enables online visualization of critical distributed system 
      properties such as component naming, location, remote communication, 
      and migration. OverViewâs architecture is generic in that different 
      abstractions can reuse the visualization module requiring changes 
      only in the entity specifications that drive the visualization 
      process.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, 
      distributed systems visualization},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/overview2003.pdf}
}

@MASTERSTHESIS{tolman-fhns-2003,
   OPTADDRESS   = {},
   AUTHOR       = {Camron Tolman},
   MONTH        = {April},
   OPTNOTE      = {},
   SCHOOL       = {Rensselaer Polytechnic Institute},
   TITLE        = {A Fault-Tolerant Home-Based Naming Service for Mobile 
      Agents},
   OPTTYPE      = {},
   YEAR         = {2003},
   ABSTRACT     = {As a mobile software agent migrates to various host 
      machines on a network, collaborating agents need to be able to locate 
      the mobile agent for communication. A naming service is in charge of 
      locating such an agent in a distributed system given its name. Three 
      critical characteristics of a naming service are: fault tolerance, 
      scalability, and efficient name resolution. Most naming services 
      provide support for efficient name resolution but do not address 
      fault tolerance or scalability issues. Conversely, distributed 
      hash-table approaches to naming provide fault tolerance and 
      scalability albeit at a sacrificed name resolution performance. We 
      introduce a Fault-Tolerant Home-Based Naming Service (FHNS) that is 
      robust and scalable yet enabling efficient name resolution. An agent 
      using FHNS has a unique name that encodes its home base. Home bases 
      are connected in a peer-to-peer manner. The agentâs run-time system 
      is responsible for keeping the agentâs home base informed of its 
      network location. An agent obtains a reference to another agent by 
      knowing the name of that agent and requesting any home base to 
      resolve that agentâs location. Redundancy exists between 
      neighboring home bases to ensure the location of any given agent can 
      still be resolved despite an agentâs respective home base failing, 
      thus eliminating single points of failure. In the event of a home 
      base failure, the failover procedure occurs transparently to the 
      agents. Furthermore, FHNS has optimal sequential fault tolerance 
      behavior: if the home bases fail sequentially down to any single 
      remaining home base, FHNS is still able to resolve the location of 
      every agent in the distributed system. Resolving the location of an 
      agent with a distributed hash-table approach, such as Chord or SPRR, 
      requires O(log n) messages between home bases. In a worldwide 
      computing system with potentially billions of nodes, such a lookup 
      could still take up to 30 messages. Realizing that logarithmic 
      lookups are not as efficient as needed for a naming service, FHNS 
      provides name to location resolution in one round-trip request (two 
      messages) in the general case. A logarithmic number of messages is 
      only needed when a direct request to a home base fails. FHNS is a 
      novel contribution being made to the field of mobile agent computing. 
      Fault-tolerant home-based naming can be incorporated into existing 
      mobile agent platforms to eliminate single points of failure without 
      sacrificing efficient name resolution.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, grid computing, middleware, 
      software agents, concurrent programming},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/theses/fhns/cam_thesis_final.pdf}
}

@INPROCEEDINGS{field-varela-transactors-2002,
   ADDRESS      = {Brno, Czech Republic},
   AUTHOR       = {J. Field and C. A. Varela},
   BOOKTITLE    = {Proceedings of the 1st International Workshop on Foundations of Coordination Languages and Software Architectures (affiliated with CONCUR)},
   OPTEDITOR    = {},
   MONTH        = {August},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {328--346},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Toward a Programming Model for Building Reliable Systems 
      with Distributed State},
   OPTVOLUME    = {},
   YEAR         = {2002},
   ABSTRACT     = {We present the preliminary design of a programming model 
      for building reliable systems with distributed state from collections 
      of potentially unreliable components. Our transactor model provides 
      constructs for maintaining consistency among the states of 
      distributed components. Our intention is that transactors should 
      support key aspects of both traditional distributed transactions, 
      e.g., for electronic commerce, and systems with weaker consistency 
      requirements, e.g., peer-to-peer file- and process-sharing systems. 
      In this paper, we motivate the need for language support for 
      maintenance of distributed state, describe the design goals for the 
      transactor model, provide an operational semantics for a simple 
      transactor calculus, and provide several examples of applications of 
      the transactor model in a higher-level language.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, concurrent programming, 
      coordination models},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://www.cs.rpi.edu/~cvarela/foclasa2002.pdf}
}

@MISC{varela-ws-2002,
   AUTHOR       = {C. Varela},
   HOWPUBLISHED = {Object-Oriented Programming, Systems, Languages and Applications (OOPSLA 2002) Object-Oriented Web Services Workshop},
   MONTH        = {November},
   NOTE         = {invited speaker},
   TITLE        = {Worldwide Computing with Coordinated Adaptive Mobile Web 
      Services},
   YEAR         = {2002},
   ABSTRACT     = {Worldwide computing seeks to enable the seamless large- 
      scale utilization of networked heterogeneous resources as a single 
      virtual global computer. Web services use standard internet protocols 
      and markup languages to support the compositional development of 
      portable distributed systems. In this paper, we consider the future 
      of web services as a foundation for developing worldwide computing 
      applications. In particular, we argue that future web service 
      technologies need to provide high-level abstractions for portable 
      dynamic code mobility and decentralized coordination. Code mobility 
      and service coordination are two key critical missing components to 
      add to XML-based solutions for service definition (WSDL), data 
      interchange (SOAP), and service registration and discovery (UDDI).},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, cyber physical systems, 
      grid computing, electronic commerce},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PS           = {http://www.cs.rpi.edu/~cvarela/oows2002.ps}
}

@PHDTHESIS{varela-phd-2001,
   OPTADDRESS   = {},
   AUTHOR       = {C. Varela},
   OPTMONTH     = {},
   OPTNOTE      = {},
   SCHOOL       = {U. of Illinois at Urbana-Champaign},
   TITLE        = {Worldwide Computing with Universal Actors: Linguistic 
      Abstractions for Naming, Migration, and Coordination},
   OPTTYPE      = {},
   YEAR         = {2001},
   ABSTRACT     = {The enormous growth of the World-Wide Web has created 
      the opportunity to use the combined computing and communication 
      resources of millions of computers and devices connected to the 
      Internet. The goal of the World-Wide Computer (WWC) project is to 
      effectively turn the Web into a unified, dependable, distributed 
      computing infrastructure. The WWC harnesses under-utilized computing 
      resources by providing application programmers with the potential to 
      globally distribute computations. Furthermore, the WWC provides 
      mobile users and remote collaborators with a unified interface to 
      their data and programs. Several applications in multiple domains -- 
      as diverse as massively parallel computing, remote collaboration, 
      coordinated computing, and Internet agents -- motivate the WWC. To 
      realize this vision, we develop mechanisms for naming, migration, and 
      coordination of software components and applications running on top 
      of the Web. We represent software components as collections of 
      actors. Actors provide autonomy, simplicity of communication and 
      computation, and a well-developed formal semantics. Therefore, the 
      WWC project uses the actor model of concurrent computation as a basis 
      for studying and implementing different strategies for distributed 
      software component naming, migration, and coordination. Universal 
      naming is a critical aspect of accomplishing worldwide computing. The 
      WWC''s naming strategy, based on Uniform Resource Identifier:s (URI), 
      enables transparent migration and interconnection of actors. While a 
      Universal Actor Name (UAN) persists over the life-time of an actor, 
      Universal Actor Locators (UAL) change according to the actor''s 
      current location, and prescribe a protocol for communication with the 
      actor. Data and code migration enable scalability, more efficient 
      network usage, improved graphical user interfaces, and mobile users 
      and resources. Much work has been done on providing transparent 
      access to remote objects, hiding their location information from 
      application programmers, albeit with the unfortunate consequence of 
      hindering efficient network programming. This thesis describes a 
      model for both fine-grained and coarse-grained migration, which 
      enables the development of applications with transparent actor 
      mobility, yet allows programming control on the locality of the 
      participating actors. Coordination of concurrent computations in the 
      WWC is difficult. Traditional coordination mechanisms rely on a 
      shared space, and therefore do not scale to the World-Wide Web. This 
      thesis develops a scalable hierarchical model for coordination. 
      Actors are grouped into casts which contain a special actor, 
      designated as the cast director. Directors may themselves belong to 
      other casts, creating a coordination forest. Message passing is 
      constrained by the directors of a recipient. All directors of a 
      target actor, up to the first common ancestor with the message 
      sender, need to approve a message before it is delivered: directors 
      above the first},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, concurrent programming, 
      grid computing, internet programming languages, coordination models, 
      middleware, software agents},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://web.archive.org/web/20010404065326/http://osl.cs.uiuc.edu/Theses/varela-phd.pdf}
}

@ARTICLE{varela-agha-salsa-oopsla-2001,
   AUTHOR       = {Carlos A. Varela and Gul Agha},
   JOURNAL      = {ACM SIGPLAN Notices. OOPSLA'2001 Intriguing Technology Track Proceedings},
   MONTH        = {December},
   OPTNOTE      = {},
   NUMBER       = {12},
   PAGES        = {20--34},
   TITLE        = {Programming Dynamically Reconfigurable Open Systems with 
      SALSA},
   VOLUME       = {36},
   YEAR         = {2001},
   ABSTRACT     = {Applications running on the Internet, or on 
      limited-resource devices, need to be able to adapt to changes in 
      their execution environment at run-time. Current languages and 
      systems fall short of enabling developers to migrate and reconfigure 
      application sub-components at program-execution time.In this paper, 
      we describe essential aspects of the design and implementation of 
      SALSA, an actor-based language for mobile and Internet computing. 
      SALSA simplifies programming dynamically reconfigurable, open 
      applications by providing universal names, active objects, and 
      migration. Moreover, SALSA introduces three language mechanisms to 
      help programmers coordinate asynchronous, mobile computations: 
      token-passing continuations, join continuations and first-class 
      continuations.We provide some examples which illustrate how SALSA 
      programs are not only dynamically reconfigurable and open, but also 
      much more concise and easier to follow than comparable Java code. 
      Furthermore, we provide empirical results which show SALSA's 
      performance to be better than Java code using an actor library, and 
      which illustrate the difference between local, local area, and wide 
      area communication and migration. Finally, we discuss the 
      implementation of our preprocessor which translates SALSA code into 
      Java.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {concurrent programming, internet programming languages},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://wcl.cs.rpi.edu/papers/b3.pdf}
}

@INCOLLECTION{agha-coordination-2001,
   OPTADDRESS   = {},
   AUTHOR       = {G. Agha and N. Jamali and C. A. Varela},
   BOOKTITLE    = {Coordination of Internet Agents},
   CHAPTER      = {9},
   OPTEDITION   = {},
   EDITOR       = {A. Ominici and F. Zambonelli and M. Klusch and 
      R. Tolksdorf},
   OPTMONTH     = {},
   NOTE         = {invited book chapter},
   OPTNUMBER    = {},
   PAGES        = {225-248},
   PUBLISHER    = {Springer-Verlag},
   OPTSERIES    = {},
   TITLE        = {Agent Naming and Coordination: Actor Based Models and 
      Infrastructures},
   OPTTYPE      = {},
   OPTVOLUME    = {},
   YEAR         = {2001},
   ABSTRACT     = {Flexible and efficient naming, migration and 
      coordination schemes are critical components of concurrent and 
      distributed systems. This chapter describes actor naming and 
      coordination models and infrastructures, which enable the development 
      of mobile agent systems. A travel agent example is used to motivate 
      the requirements and proposed solutions for naming, migration and 
      coordination. Universal Actor Names provide location and migration 
      transparency, while ActorSpaces enable the unanticipated connection 
      of users, agents and services in the open, dynamic nature of 
      todayâs networks. An actor-based architecture, the World Wide 
      Computer, is presented as a basis for implementing higher-level 
      naming and coordination models for Internet-based agent systems. 
      Finally, multiagent coordination is accomplished with cyborgs, an 
      abstraction which provides a unit for group migration and resource 
      consumption through the use of e-cash.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, concurrent programming, 
      coordination models, software agents},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PDF          = {http://web.archive.org/web/20010404065326/http://osl.cs.uiuc.edu/Papers/coord01.pdf}
}

@INPROCEEDINGS{varela-agha-coordination-99,
   ADDRESS      = {Berlin},
   AUTHOR       = {C. Varela and G. Agha},
   BOOKTITLE    = {Third International Conference on Coordination Languages and Models (COORDINATION '99)},
   EDITOR       = {P. Ciancarini and A. Wolf},
   MONTH        = {April},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {166--182},
   PUBLISHER    = {Springer-Verlag},
   SERIES       = {LNCS 1594},
   TITLE        = {A Hierarchical Model for Coordination of Concurrent 
      Activities},
   OPTVOLUME    = {},
   YEAR         = {1999},
   ABSTRACT     = {We describe a hierarchical model for coordination of 
      concurrent activities based on grouping actors into casts and 
      coordinating casts by actors that are designated directors. The 
      hierarchical model provides a simple, intuitive basis for actor 
      communication and coordination. Casts serve as abstraction units for 
      naming, migration, synchronization and load balancing. Messengers are 
      actors used to send messages with special behaviour across casts. 
      Moreover, an implementation of the hierarchical model does not 
      require a reflective run-time architecture. We present the 
      operational semantics for our model and illustrate the model by two 
      sample applications: an atomic multicast protocol and a messenger 
      carrying remote exception-handling code. These applications have been 
      implemented in Java, leveraging the existence of cross-platform, safe 
      virtual machine implementations.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {concurrent programming, coordination models},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PS           = {http://web.archive.org/web/20010404065326/http://osl.cs.uiuc.edu/Papers/Coordination99.ps}
}

@MISC{varela-agha-salsa-99,
   AUTHOR       = {C. Varela and G. Agha},
   HOWPUBLISHED = {Proceedings of the Midwest Society for Programming Languages and Systems Workshop},
   MONTH        = {October},
   OPTNOTE      = {},
   TITLE        = {Linguistic Support for Actors, First-Class Token-Passing 
      Continuations and Join Continuations},
   YEAR         = {1999},
   OPTABSTRACT  = {},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {concurrent programming, internet programming languages},
   URL          = {http://web.archive.org/web/20010404065326/http://osl.cs.uiuc.edu/~cvarela/mspls99/},
   OPTURL-PUBLISHER = {}
}

@ARTICLE{varela-agha-www7-98,
   AUTHOR       = {C. Varela and G. Agha},
   JOURNAL      = {Computer Networks and ISDN Systems: The International J. of Computer Telecommunications and Networking},
   MONTH        = {April},
   NOTE         = {Proceedings of the Seventh International Conference on The World Wide Web (WWW7), Brisbane, Australia},
   OPTNUMBER    = {},
   PAGES        = {573-577},
   TITLE        = {What after Java? From Objects to Actors},
   VOLUME       = {30},
   YEAR         = {1998},
   ABSTRACT     = {In this paper, we discuss some drawbacks of the Java 
      programming language, and propose some potential improvements for 
      concurrent object-oriented software development. In particular, we 
      argue that Java's passive object model does not provide an effective 
      means for building distributed applications, critical for the future 
      of Web-based next-generation information systems. Specifically, we 
      suggest improvements to Java's existing mechanisms for maintaining 
      consistency across multiple threads (e.g. synchronized), sending 
      asynchronous messages (e.g. start/run methods) and controlling 
      resources (e.g. thread scheduling). We drive the discussion with 
      examples and suggestions from our own work on the Actor model of 
      computation.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {concurrent programming, internet programming languages},
   URL          = {http://web.archive.org/web/20010404065326/http://osl.cs.uiuc.edu/Papers/www7/},
   OPTURL-PUBLISHER = {}
}

@INPROCEEDINGS{agha-hcw-98,
   OPTADDRESS   = {},
   AUTHOR       = {G. Agha and M. Astley and J. Sheikh and C. A. Varela},
   BOOKTITLE    = {Proceedings of the Seventh Heterogeneous Computing Workshop (HCW '98)},
   EDITOR       = {J. Antonio},
   MONTH        = {March},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {144-155},
   PUBLISHER    = {IEEE Computer Society},
   OPTSERIES    = {},
   TITLE        = {Modular Heterogeneous System Development: A Critical 
      Analysis of Java},
   OPTVOLUME    = {},
   YEAR         = {1998},
   ABSTRACT     = {Java supports heterogeneous applications by transforming 
      a heterogeneous network of machines into a homogeneous network of 
      Java virtual machines. This approach abstracts over many of the 
      complications that arise from heterogeneity, providing a uniform API 
      to all components of an application. However, for many applications 
      heterogeneity is an intentional feature where components and 
      resources are co-located for optimal performance. The authors argue 
      that Java's API does not provide an effective means for building 
      applications in such an environment. Specifically, they suggest 
      improvements to Java's existing mechanisms for maintaining 
      consistency (e.g. synchronized), and controlling resources (e.g. 
      thread scheduling). They also consider the recent addition of a CORBA 
      API in JDK 1.2. They argue that while such an approach provides 
      greater flexibility for heterogeneous applications, many key problems 
      still exist from an architectural standpoint. Finally, they consider 
      the future of Java as a foundation for component-based software in 
      heterogeneous environments and suggest architectural abstractions 
      which will prove key to the successful development of such systems. 
      They drive the discussion with examples and suggestions from their 
      work on the Actor model of computation.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, internet programming languages, 
      concurrent programming, coordination models},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PS           = {http://web.archive.org/web/20010404065326/http://osl.cs.uiuc.edu/Papers/HCW98.ps}
}

@MISC{varela-oopsla-98,
   AUTHOR       = {C. Varela},
   HOWPUBLISHED = {Object-Oriented Programming, Systems, Languages and Applications (OOPSLA 98), Doctoral Symposium},
   MONTH        = {October},
   OPTNOTE      = {},
   TITLE        = {An Actor-Based Approach to World-Wide Computing},
   YEAR         = {1998},
   ABSTRACT     = {We define several actor-based abstractions (casts, 
      directors, messengers) to effectively harness the power of the World 
      Wide Web as a global computing infrastructure. Groups of actors, or 
      "casts", represent an abstraction unit for naming, synchronization, 
      migration and load balancing. Each cast contains a "director" and 
      inter-cast communication is performed via special actors named 
      "messengers".},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, concurrent programming, 
      grid computing, software agents},
   URL          = {http://web.archive.org/web/20010404065326/http://osl.cs.uiuc.edu/~cvarela/oopsla98/},
   OPTURL-PUBLISHER = {}
}

@INPROCEEDINGS{delarosa-clei-97,
   ADDRESS      = {Valparaiso, Chile},
   AUTHOR       = {R. delaRosa and M. Franky and P. Figueroa and 
      C. A. Varela},
   BOOKTITLE    = {XXIII Conferencia Latinoamericana de Informática},
   OPTEDITOR    = {},
   MONTH        = {November},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {567--578},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Objetos Móviles en un Sistema Distribuido sobre el WWW},
   VOLUME       = {II},
   YEAR         = {1997},
   ABSTRACT     = {En un sistema distribuido de ĂĄrea mundial, que tiene 
      objetos que ofrecen una interfaz de servicios RPC, la tĂ©cnica de 
      cadenas SSP permite que puedan migrar a travĂ©s de la red, 
      transparentemente para sus clientes. Sin embargo esta tĂ©cnica 
      representa las referencias a objetos por medio de cadenas SSP 
      extendidas sobre una secuencia de computadores arbitrariamente larga, 
      y esto tiene dos inconvenientes: Primero, la disponibilidad de los 
      objetos referenciados puede depender de que numerosos sitios no 
      fallen. Segundo la recolecciĂłn de basura distribuida es compleja. 
      Respecto a la recuperaciĂłn de fallas, la tĂ©cnica de cadena SSP 
      propone buscar exhaustivamente en el sistema, lo que puede no ser 
      realizable, en un sistema con innumerables sitios. Lo que proponemos 
      en este artĂ­culo son cambios a esta tĂ©cnica para no dejar alargar 
      las cadenas SSP y no hacer bĂșsquedas globales.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, grid computing},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PS           = {http://web.archive.org/web/20010404065326/http://osl.cs.uiuc.edu/Papers/clei97.ps}
}

@MISC{varela-tyba-96,
   AUTHOR       = {C. Varela},
   HOWPUBLISHED = {Zolar/Oracle Users Symposium, Tokyo, Japan},
   MONTH        = {July},
   OPTNOTE      = {},
   TITLE        = {Tyba: A Simple HTTP Server Developed in Java},
   YEAR         = {1996},
   OPTABSTRACT  = {},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, concurrent programming, 
      internet programming languages},
   OPTURL       = {},
   OPTURL-PUBLISHER = {}
}

@ARTICLE{varela-db-95,
   AUTHOR       = {C. Varela and D. Nekhayev and P. Chandrasekharan and 
      C. Krishnan and V. Govindan and D. Modgil and S. Siddiqui and 
      D. Lebedenko and M. Winslett},
   JOURNAL      = {Proceedings of the Fourth International Conference on the World-Wide Web. World-Wide Web Journal},
   MONTH        = {December},
   OPTNOTE      = {},
   NUMBER       = {1},
   OPTPAGES     = {},
   TITLE        = {DB: Browsing Object-Oriented Databases over the Web},
   VOLUME       = {1},
   YEAR         = {1995},
   ABSTRACT     = {In this paper, we present some critical issues involving 
      the browsing of object-oriented databases over the World-Wide Web, as 
      well as performance results using our Database Browser (DB) 
      implementation. First, given the statelessness of HTTP, we introduced 
      a dispatcher script architecture. In this architecture, a CGI script 
      communicates with an intermediate data server connected to the 
      database application, which keeps the database open for faster future 
      transactions. Second, we used ODL, a standard object definition 
      language and we defined a simple intermediate data format for moving 
      database objects across the network. And lastly, we defined five 
      generic hypertext interfaces for: a database schema, a class 
      definition, a class query form, a class extent, and a set of class 
      instances. We implemented these ideas using ObjectStore with two 
      database applications, one containing university registration 
      information and another one containing electronic mailboxes. An 
      important result was the dramatic performance improvement gained by 
      introducing our Database Browser (DB) architecture.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, databases and the web},
   URL          = {http://www.w3.org/Conferences/WWW4/Papers2/282/},
   OPTURL-PUBLISHER = {}
}

@INPROCEEDINGS{akkiraju-ashapes-95,
   OPTADDRESS   = {},
   AUTHOR       = {N. Akkiraju and H. Edelsbrunner and M. Facello and P. Fu and 
      E. Mucke and C. A. Varela},
   BOOKTITLE    = {Proceedings of the 1st International Computational Geometry Software Workshop},
   OPTEDITOR    = {},
   MONTH        = {February},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Alpha Shapes: Definitions and Software},
   OPTVOLUME    = {},
   YEAR         = {1995},
   ABSTRACT     = {The concept of an a-shape of a finite set of points with 
      weights in Rd is defined and illustrated. It is a polytope uniquely 
      determined by the points, their weights, and a parameter a that 
      controls the desired level of detail. Software that computes such 
      shapes in dimensions 2 and 3 and is available via anonymous ftp},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, computational geometry},
   URL          = {http://wcl.cs.rpi.edu/papers/b11.pdf},
   OPTURL-PUBLISHER = {}
}

@MASTERSTHESIS{varela-ms-95,
   OPTADDRESS   = {},
   AUTHOR       = {C. Varela},
   OPTMONTH     = {},
   OPTNOTE      = {},
   SCHOOL       = {University of Illinois at Urbana-Champaign},
   TITLE        = {Browsing Databases over the World-Wide Web},
   OPTTYPE      = {},
   YEAR         = {1995},
   ABSTRACT     = {The success of a distributed information system lies 
      heavily on the simplicity for generating providing using and 
      referring to information. The World Wide Web is composed by excellent 
      protocols, tools and languages to perform these actions for static 
      information which has a fixed format such as home pages. An extension 
      to this technology called Zelig has been designed to facilitate the 
      construction of interfaces that provide access to dynamic information 
      which has variable formats such as the result of queries to existing 
      databases. The goal of Zelig is to make it easy for people to create 
      interfaces to dynamic information sources without large amounts of 
      programming effort. Zelig generates CGI scripts which are programs 
      that serve as mediators between Web servers and database manager 
      systems. Its code generation is based on user interface abstractions 
      or schemata. These schemata are written in ZHTML a high level 
      language extension to HTML that incorporates several directives for 
      dynamic document generation. ZHTML allows Web database designers to 
      do very fast prototyping for database interfaces. Zelig's 
      architecture has been implemented in a system which provides access 
      to nearly CCSO phone nameservers around the world. This gateway 
      currently receives around 2000 queries per day. The main 
      contributions of this research are first a high level language for 
      providing dynamic information in the Web. This language allows very 
      fast prototyping by eliminating the need of extensive CGI 
      programming. Second, the separation of database specific modules and 
      presentation specific modules in the World Wide Web server side. This 
      separation allows more flexible user interfaces to databases. It is 
      hoped that in the future Zelig will enhance the richness and utility 
      of information access available on the World Wide Web.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, databases and the web},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PS           = {http://web.archive.org/web/20010404065326/http://osl.cs.uiuc.edu/~cvarela/MSthesis.ps}
}

@INPROCEEDINGS{varela-zelig-94,
   ADDRESS      = {Kobe, Japan},
   AUTHOR       = {C. Varela},
   BOOKTITLE    = {Proceedings of the Ninth International Symposium on Information Systems},
   OPTEDITOR    = {},
   MONTH        = {October},
   NOTE         = {Invited speaker},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Automating Database Provision for the World-Wide Web and 
      Mosaic},
   OPTVOLUME    = {},
   YEAR         = {1994},
   OPTABSTRACT  = {},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, databases and the web},
   OPTURL       = {},
   OPTURL-PUBLISHER = {}
}

@INPROCEEDINGS{varela-hayes-www2-94,
   ADDRESS      = {Chicago, U.S.A.},
   AUTHOR       = {C. Varela and C. Hayes},
   BOOKTITLE    = {Proceedings of the Second International Conference on the World-Wide Web},
   OPTEDITOR    = {},
   MONTH        = {October},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Providing Data on the Web: From Examples to Programs},
   OPTVOLUME    = {},
   YEAR         = {1994},
   ABSTRACT     = {The World-Wide Web provides access to a global 
      information universe using available technology [Berners-Lee et al. 
      1992]. In order to fully realize the benefits of this information 
      system, we are developing a system, Zelig, to provide on-the-fly 
      access to databases and dynamic information through effective user 
      interfaces [Varela and Hayes 1994]. In this paper, we have extended 
      Zelig to generate code for performing conversions from fixed data 
      formats into hypertext. Consequently, information providers only need 
      to give examples of their current database reports and the desired 
      hypertext to be generated for those particular examples. Zelig 
      produces the program to extract relevant data from the reports and 
      the schemata to drive the hypertext generation process. We include as 
      an example, an interface to ph/qi, the CCSO nameserver software 
      providing data for academic institutions around the world.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, databases and the web},
   URL          = {http://web.archive.org/web/20050410112118/http://archive.ncsa.uiuc.edu/SDG/IT94/Proceedings/DDay/varela/paper.html},
   OPTURL-PUBLISHER = {}
}

@INPROCEEDINGS{varela-hayes-zelig-94,
   ADDRESS      = {Geneva, Switzerland},
   AUTHOR       = {C. Varela and C. Hayes},
   BOOKTITLE    = {Proceedings of the First International Conference on the World-Wide Web},
   OPTEDITOR    = {},
   MONTH        = {May},
   OPTNOTE      = {},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   OPTPAGES     = {},
   OPTPUBLISHER = {},
   OPTSERIES    = {},
   TITLE        = {Zelig: Schema-Based Generation of Soft WWW Database 
      Applications},
   OPTVOLUME    = {},
   YEAR         = {1994},
   ABSTRACT     = {The WorldâWide Web brings a global information 
      universe into existence using available technology [BernersâLee et 
      al. 1992]. In order to fully realize the benefits of this information 
      system, methodologies need to be developed for the creation of 
      scripts that query existing databases and produce effective user 
      interfaces. Present practice falls short of this goal in two areas; 
      first, interface changes require direct modification of the scripts, 
      and second, user interfaces are hard, in the sense that they donât 
      adapt to database usage. We present Zelig, a schemaâbased approach 
      to HTML document generation that addresses both these problems. 
      First, Zelig uses ZHTML schemata, which are HTML documents commented 
      with directives for document generation. And second, Zelig contains 
      an expert module which gives advice regarding the underlying data 
      structures and interface design issues. This approach allows soft or 
      evolving database applications that keep track of usage and 
      selfâadapt to increase database efficiency and to improve 
      humanâcomputer interaction. As an example, we have used this 
      approach to automatically generate four different WWW interfaces to 
      the CCSO phone nameserver database software.},
   OPTDOI       = {},
   OPTISBN      = {},
   OPTISSN      = {},
   KEYWORDS     = {distributed computing, databases and the web},
   OPTURL       = {},
   OPTURL-PUBLISHER = {},
   PS           = {http://www94.web.cern.ch/WWW94/PapersWWW94/cvarel.ps}
}

