Process Algebra and Probabilistic Methods. Performance Modelling and Verification (eBook, PDF)

Joint International Workshop, PAPM-PROBMIV 2001, Aachen, Germany, September 12-14, 2001. Proceedings
Redaktion: Alfaro, Luca De; Gilmore, Stephen

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the Joint Workshop on Process Algebra and Performance Modeling and Probabilistic Methods in Verification, PAPM-PROBMIV 2001, held in Aachen, Germany in September 2001. The 12 revised full papers presented together with one invited paper were carefully reviewed and selected from 23 submissions. Among the topics addressed are model representation, model checking, probabilistic systems analysis, refinement, Markov chains, random variables, stochastic timed systems, Max-Plus algebra, process algebra, system modeling, and the Mobius modeling framework.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 224
• Erscheinungstermin: 30. Juni 2003
• Englisch
• ISBN-13: 9783540448044
• Artikelnr.: 53098564

Inhaltsangabe

Invited Paper.- Advances in Model Representations.- Contributed Papers.- Faster and Symbolic CTMC Model Checking.- Reachability Analysis of Probabilistic Systems by Successive Refinements.- Beyond Memoryless Distributions: Model Checking Semi-Markov Chains.- Coin Lemmas with Random Variables.- MoDeST - A Modelling and Description Language for Stochastic Timed Systems.- Randomization Helps in LTL Model Checking.- An Efficient Kronecker Representation for PEPA Models.- Reward Based Congruences: Can We Aggregate More?.- Using Max-Plus Algebra for the Evaluation of Stochastic Process Algebra Prefixes.- Expressing Processes with Different Action Durations through Probabilities.- Quantifying the Dynamic Behavior of Process Algebras.- Implementing a Stochastic Process Algebra within the Möbius Modeling Framework.