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Static Partial Order Reduction for Probabilistic Concurrent Systems

Sound criteria for partial order reduction for probabilistic concurrent systems have been presented in the literature. Their realization relies on a depth-first search-based approach for generating the reduced model. The drawback of this dynamic approach is that it can hardly be combined with other techniques to tackle the state explosion problem, e.g., symbolic probabilistic model checking with multi-terminal variants of binary decision diagrams. Following the approach presented by Kurshan et al. for non-probabilistic systems, we study partial order reduction techniques for probabilistic concurrent systems that can be realized by a static analysis. The idea is to inject the reduction criteria into the control flow graphs of the processes of the system to be analyzed. We provide the theoretical foundations of static partial order reduction for probabilistic concurrent systems and present algorithms to realize them. Finally, we report on some experimental results.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa.de:bsz:14-qucosa-121261
Date10 September 2013
CreatorsFernández-Díaz, Álvaro, Baier, Christel, Benac-Earle, Clara, Fredlund, Lars-Åke
ContributorsTechnische Universität Dresden, Sonderforschungsbereich 912
PublisherSaechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typedoc-type:conferenceObject
Formatapplication/pdf
Source2012 Ninth International Conference on Quantitative Evaluation of Systems: QEST'12, Proceedings, 17-20 September 2012, London, United Kingdom, S. 104-113, ISBN: 978-0-7695-4781-7

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