Distributed Disk-Based Solution of Very Large Markov Chains


Bell, Alexander and Haverkort, Boudewijn R. (2006) Distributed Disk-Based Solution of Very Large Markov Chains. Formal Methods in System Design, 29 (2). pp. 177-196. ISSN 0925-9856

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Abstract:In this paper we present data structures and distributed algorithms for CSL model checking-based performance and dependability evaluation. We show that all the necessary computations are composed of series or sums of matrix-vector products. We discuss sparse storage structures for the required matrices and present efficient sequential and distributed disk-based algorithms for performing these matrix-vector products. We illustrate the effectivity of our approach in a number of case studies in which continuous-time Markov chains (generated in a distributed way from stochastic Petri net specifications) with several hundreds of millions of states are solved on a workstation cluster with 26 dual-processor nodes. We show details about the memory consumption, the solution times, and the speedup. The distributed message-passing algorithms have been implemented in a tool called PARSECS, that also takes care of the distributed Markov chain generation and that can also be used for distributed CTL model checking of Petri nets.
Item Type:Article
Additional information:Imported from research group DACS (ID number 430)
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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Link to this item:http://purl.utwente.nl/publications/66559
Official URL:https://doi.org/10.1007/s10703-006-0007-0
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