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Process Algebra and Probabilistic Methods Performance Modeling and Verification: Second Joint International Workshop PAPM-PROBMIV 2002, Copenhagen, ... Notes in Computer Science, 2399, Band 2399) - Softcover

 
9783540439134: Process Algebra and Probabilistic Methods Performance Modeling and Verification: Second Joint International Workshop PAPM-PROBMIV 2002, Copenhagen, ... Notes in Computer Science, 2399, Band 2399)

Inhaltsangabe

This volume contains the proceedings of the second joint PAPM-PROBMIV Workshop, held at the University of Copenhagen, Denmark, July 25–26, 2002 as part of the Federated Logic Conference (FLoC 2002). The PAPM-PROBMIV workshop results from the combination of two wo- shops: PAPM (Process Algebras and Performance Modeling) and PROBMIV (Probabilistic Methods in Veri?cation). The aim of the joint workshop is to bring together the researchers working across the whole spectrum of techniques for the modeling, speci?cation, analysis, and veri?cation of probabilistic systems. Probability is widely used in the design and analysis of software and hardware systems, as a means to derive e?cient algorithms (e.g. randomization), as a model for unreliable or unpredictable behavior (as in the study of fault-tolerant systems and computer networks), and as a tool to study performance and - pendability properties. The topics of the workshop include speci?cation, m- els, and semantics of probabilistic systems, analysis and veri?cation techniques, probabilistic methods for the veri?cation of non-probabilistic systems, and tools and case studies. The ?rst PAPM workshop was held in Edinburgh in 1993; the following ones were held in Regensberg (1994), Edinburgh (1995), Turin (1996), Enschede (1997), Nice (1998), Zaragoza (1999), and Geneva (2000). The ?rst PROBMIV workshop was held in Indianapolis, Indiana (1998); the next one took place in Eindhoven (1999). In 2000, PROBMIV was replaced by a Dagstuhl seminar on Probabilistic Methods in Veri?cation.

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Über die Autorin bzw. den Autor

Dilsun Kaynar is a postdoctoral researcher at CyLab, Carnegie Mellon University. Previously, she was a postdoctoral research associate in the Theory of Distributed Systems Group at MIT's Computer Science and Artificial Intelligence Laboratory. She received her PhD degree from the University of Edinburgh at the Laboratory for Foundations of Computer Science and her BSc in Computer Engineering from METU in Turkey. The broad area of her research is the specification, programming, and verification of distributed computing systems. Her PhD work focused on the design of functional programming languages that support mobile computation. She investigated the application of type-based analysis in this context, in particular to improve safety and security of systems. In her postdoctoral research at MIT, she worked on the development of I/O automata-based formal modeling frameworks for distributed systems, with collaborators including Nancy Lynch, Roberto Segala, and Frits Vaandrager. She is currently pursuing research at CMU CyLab, developing methods for analyzing security guarantees offered by contemporary secure systems and establishing foundations for data privacy, based on specializations of general formal frameworks for distributed computing such as I/O automata. Nancy Lynch is a Professor in the Department of Electrical Engineering and Computer Science at MIT and heads the Theory of Distributed Systems research group in MIT's Computer Science and Artificial Intelligence Laboratory. Prior to joining MIT in 1981, she served on the faculty at Tufts University, the University of Southern California, Florida International University, and Georgia Tech. She received her B.S. degree in mathematics from Brooklyn College, and her PhD in mathematics from MIT. She has written numerous research articles about distributed algorithms and impossibility results, and about formal modeling and verification of distributed systems. Her notable research contributions include the well-known "FLP" impossibility result for distributed consensus in the presence of process failures (with Fischer and Paterson), the "DLS" algorithms for stabilizing fault-tolerant consensus (with Dwork and Stockmeyer), and the I/O automata mathematical modeling frameworks (with Tuttle, Vaandrager, Segala, and Kaynar). Prior to this monograph, she wrote two books: on "Atomic Transactions" (with Merritt, Weihl, and Fekete) and on "Distributed Algorithms." She is a member of the National Academy of Engineering and the American Academy of Arts and Sciences,and is an ACM Fellow. She is a winner of several prizes for her work in distributed computing theory, including the Dijkstra Prize (2001 and 2007), the van Wijngaarden Prize (2006), the Knuth Prize (2007), and the IEEE Piore Prize (2010). Roberto Segala is a Professor at the University of Verona, Italy, and heads the Formal Models and Verification group at the Department of Computer Science. Prior to joining the University of Verona in 2001,he was research associate at the University of Bologna.He received his Laurea in Computer Science from the University of Pisa as a student of the Scuola Normale Superiore, and his Masters and PhD in Computer Science from MIT. As part of his PhD work, he made contributions to the theory of liveness and receptiveness for real-time systems and he designed the model of Probabilistic Automata for the formal analysis of randomized distributed algorithms. After that, he worked with Lynch, Kaynar, Vaandrager and others on the hybrid extension of the I/O automata framework. He also worked on model checking of probabilistic real-time systems, contributing to the design of some of the algorithms used in the PRISM model checker. One of his long-term goals is to design a general mathematical model that can be used for the description and analysis of systems that exhibit stochastic hybrid behavior. Frits Vaandrager is a Professor at the Radboud University Nijmegen, the Netherlands, within the Institute of C

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This volume contains the proceedings of the second joint PAPM-PROBMIV Workshop, held at the University of Copenhagen, Denmark, July 25¿26, 2002 as part of the Federated Logic Conference (FLoC 2002). The PAPM-PROBMIV workshop results from the combination of two wo- shops: PAPM (Process Algebras and Performance Modeling) and PROBMIV (Probabilistic Methods in Veri?cation). The aim of the joint workshop is to bring together the researchers working across the whole spectrum of techniques for the modeling, speci?cation, analysis, and veri?cation of probabilistic systems. Probability is widely used in the design and analysis of software and hardware systems, as a means to derive e?cient algorithms (e.g. randomization), as a model for unreliable or unpredictable behavior (as in the study of fault-tolerant systems and computer networks), and as a tool to study performance and - pendability properties. The topics of the workshop include speci?cation, m- els, and semantics of probabilistic systems, analysis and veri?cation techniques, probabilistic methods for the veri?cation of non-probabilistic systems, and tools and case studies. The ?rst PAPM workshop was held in Edinburgh in 1993; the following ones were held in Regensberg (1994), Edinburgh (1995), Turin (1996), Enschede (1997), Nice (1998), Zaragoza (1999), and Geneva (2000). The ?rst PROBMIV workshop was held in Indianapolis, Indiana (1998); the next one took place in Eindhoven (1999). In 2000, PROBMIV was replaced by a Dagstuhl seminar on Probabilistic Methods in Veri?cation.

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