Non-Regenerative Stochastic Petri Nets:Modeling and Analysis (Special Section on Description Models for Concurrent Systems and Their Applications)
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概要
- 論文の詳細を見る
We develop a new class of stochastic Petri net:non-regenerative stochastic Petri net (NRSPN), which allows the firing time of its transitions with arbitrary distributions, and can automatically generate a bounded reachability graph that is equivalent to a generalization of the Markov renewal process in which some of the states may not constitute regeneration points.Thus, it can model and analyze behavior of a system whose states include some non-regeneration points. We show how to model a system by the NRSPN, and how to obtain numerical solutions for the NRSPN model. The probabilistic behavior of the modeled system can be clarified with the reliability measures such as the steady-state probability, the expected numbers of visits to each state per unit time, availability, unavailability and mean time between system failure. Finally, to demonstrate the modeling ability and analysis power of the NRSPN model, we present an example for a fault-tolerant system using the NRSPN and give numerical results for specific distributions.
- 社団法人電子情報通信学会の論文
- 1996-11-25
著者
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Yano Yoneo
The Department Of Information Science And Intelligent Systems Faculty Of Engineering The University
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JIN Qun
the Department of Information Science and Intelligent Systems, Faculty of Engineering,The University
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SUGASAWA Yoshio
the Department of Mathematical Engineering, College of Industrial Technology, Nikon University
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Jin Qun
The Department Of Information Science And Intelligent Systems Faculty Of Engineering The University
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Sugasawa Yoshio
The Department Of Mathematical Engineering College Of Industrial Technology Nikon University