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First Passage Time Analysis of Stochastic Process Algebra Using Partial Orders
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PNPM '97 Proceedings of the 6th International Workshop on Petri Nets and Performance Models
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In this paper, the concept of complete finite prefixes for process algebra expressions is extended to stochastic models. Events are supposed to happen after a delay that is determined by random variables assigned to the preceding conditions. Max-plus algebra expressions are shown to provide an elegant notation for stochastic prefixes not containing any decisions. Furthermore, they allow for the computation of performance measures. The derivation of the so called k-th occurrence times is shown in detail.