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Performance analysis of stochastic process algebra models using stochastic simulation

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3 Author(s)
J. T. Bradley ; Dept. of Comput., Imperial Coll. London, UK ; S. T. Gilmore ; N. Thomas

We present a translation of a generic stochastic process algebra model into a form suitable for stochastic simulation. By systematically generating rate equations from a process description, we can use tools developed for chemical and biochemical reaction analysis to provide time-series output for models with state spaces of O(1010000) and beyond. We apply these techniques to a significant case study: that of a secure electronic voting protocol

Published in:

Proceedings 20th IEEE International Parallel & Distributed Processing Symposium

Date of Conference:

25-29 April 2006