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Scalable Differential Analysis of Process Algebra Models

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3 Author(s)
Tribastone, M. ; Lab. for Foundations of Comput. Sci., Univ. of Edinburgh, Edinburgh, UK ; Gilmore, S. ; Hillston, J.

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.

Published in:

Software Engineering, IEEE Transactions on  (Volume:38 ,  Issue: 1 )

Date of Publication:

Jan.-Feb. 2012

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