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2006
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Performance analysis of stochastic process algebra models using stochastic simulation

10 years 10 months ago
Performance analysis of stochastic process algebra models using stochastic simulation
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 timeseries 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.
Jeremy T. Bradley, Stephen T. Gilmore, Nigel Thoma
Added 12 Jun 2010
Updated 12 Jun 2010
Type Conference
Year 2006
Where IPPS
Authors Jeremy T. Bradley, Stephen T. Gilmore, Nigel Thomas
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