確率ペトリネットを用いた分散処理特性の解析評価について

概要

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Petrient is developed to describe the flow and control of information in system that behave parallel and asynchronous. Stochastic Petrinet is the expansion of ordinary Petrinet and suitable for especialy distributed processing analysis. Stochastic Petrinet in often used as a tool for modelling systems with concurrency, synchronization and communication. Also, it has been widely used in the performance analysis of communication systems, protocol, manufacturing systems etc. Any finite place, finite transition, marked stochastic Petrinet is isomorphic to a Markov Chain. As a result, the usual way of analyzing a stochastic Petrinet is to generate the associated Markov Chain. Solving the Markov Chain, we obtain the steady state probabilities. From these probabilities, we obtain the perfor mance measure. In this paper, we present stochastic Petrinet and evaluate behavior of distributed processing system.
岡山理科大学の論文