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7894 Model checking Infinite-State Markov Chains
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Remke, A.K.I. and Haverkort, B.R.H.M. and Cloth, L. (2005) Model checking Infinite-State Markov Chains. In: Tools and Algorithms for the Construction and Analysis of Systems, 11th International Conference, TACAS 2005, Held as Part of the Joint European Conferences on Theory and Practice of Software (ETAPS 2005), 4-8 Apr 2005, Edinburgh, UK. pp. 237-252. Lecture Notes in Computer Science 3440. Springer. ISBN 9783540253334

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Official URL: http://dx.doi.org/10.1007/978-3-540-31980-1_16

Abstract

In this paper algorithms for model checking CSL (continuous stochastic logic) against infinite-state continuous-time Markov chains of so-called quasi birth-death type are developed. In doing so we extend the applicability of CSL model checking beyond the recently proposed case for finite-state continuous-time Markov chains, to an important class of infinite-state Markov chains. We present syntax and semantics for CSL and develop efficient model checking algorithms for the steady-state operator and the time-bounded next and until operator. For the former, we rely on the so-called matrix-geometric solution of the steady-state probabilities of the infinite-state Markov chain. For the time-bounded until operator we develop a new algorithm for the transient analysis of infinite-state Markov chains, thereby exploiting the quasi birth-death structure. A case study shows the feasibility of our approach.
The work presented in this paper has been performed in the context of the MC=MC project (612.000.311), financed by the Netherlands Organization for Scientific Research (NWO) and is based on the diploma thesis [18], supported by the German Academic Exchange Service (DAAD).

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-DACS: Design and Analysis of Communication Systems
Research Program:CTIT-UBRICKS: Building Blocks for Ubiquitous Computing and Communication
Research Project:MC=MC: Model-Checking of Infinite-State Markov Chains
Additional Information:Imported from research group DACS (ID number 456)
ID Code:7894
Status:Published
Deposited On:12 October 2007
Refereed:Yes
International:Yes
More Information:statistics

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