Distribution, Approximation and Probabilistic Model Checking | Zendy

Guillaume Guirado | Zendy; Thomas Hérault | Zendy; Richard Lassaigne | Zendy; Sylvain Peyronnet | Zendy

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Distribution, Approximation and Probabilistic Model Checking

Author(s) -

Guillaume Guirado,

Thomas Hérault,

Richard Lassaigne,

Sylvain Peyronnet

Publication year - 2006

Publication title -

electronic notes in theoretical computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.242

H-Index - 60

ISSN - 1571-0661

DOI - 10.1016/j.entcs.2005.10.016

Subject(s) - computer science , probabilistic logic , scalability , model checking , workstation , theoretical computer science , monte carlo method , scheme (mathematics) , algorithm , distributed computing , mathematics , artificial intelligence , mathematical analysis , statistics , database , operating system

APMC is a model checker dedicated to the quantitative verification of fully probabilistic systems against LTL formulas. Using a Monte-Carlo method in order to efficiently approximate the verification of probabilistic specifications, it could be used naturally in a distributed framework. We present here the tool and its distribution scheme, together with extensive performance evaluation, showing the scalability of the method, even on clusters containing 500+ heterogeneous workstations

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