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Scalable differential analysis of process algebra models

Tribastone, Mirco, Gilmore, Stephen and Hillston, Jane (2012) Scalable differential analysis of process algebra models IEEE Transactions on Software Engineering, 38, (1), pp. 205-219. (doi:10.1109/TSE.2010.82).

Record type: Article

Abstract

The exact performance analysis of large-scale software systems with discrete-state approaches is difficult because of the well-known problem of state-space explosion. This paper considers this problem with regard to the stochastic process algebra PEPA, presenting a deterministic approximation to the underlying Markov chain model based on ordinary differential equations. The accuracy of the approximation is assessed by means of a substantial case study of a distributed multithreaded application.

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Published date: 2012
Organisations: Electronic & Software Systems

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Local EPrints ID: 356798
URI: http://eprints.soton.ac.uk/id/eprint/356798
PURE UUID: c7cda4dc-efcc-4d5e-b39a-5cf3488a8bf3

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Date deposited: 13 Sep 2013 16:16
Last modified: 18 Jul 2017 03:37

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Contributors

Author: Mirco Tribastone
Author: Stephen Gilmore
Author: Jane Hillston

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