Luca de Alfaro,
Stephen Gilmore
Springer Berlin Heidelberg
2001e druk, 2001
9783540425564
Process Algebra and Probabilistic Methods. Performance Modelling and Verification
Joint International Workshop, PAPM-PROBMIV 2001, Aachen, Germany, September 12-14, 2001. Proceedings
Specificaties
Paperback, 224 blz.
|
Engels
Springer Berlin Heidelberg |
2001e druk, 2001
ISBN13: 9783540425564
Rubricering
Onderdeel van serie
Lecture Notes in Computer Science
Levertijd ongeveer 8 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9783540425564
Taal:Engels
Bindwijze:paperback
Aantal pagina's:224
Uitgever:Springer Berlin Heidelberg
Druk:2001
Inhoudsopgave
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.