Analysis of Stochastic Petri Net model with non-exponential distributions using a generalized Markov Renewal Process

Qun Jin, Yoshio Sugasawa, Koichiro Seya

研究成果: Article査読

抄録

Stochastic Petri Nets have been developed to model and analyze systems involving concurrent activities. However, the firing times of a Stochastic Petri Net model are always exponentially distributed. This paper presents an aggregate approach on how to analyze Stochastic Petri Net model with non-exponential distributions using a generalized Markov Renewal Process. Therefore, the modeling flexibility of Petri Net and the analyzing power of Markov Renewal Process are fully exploited. Moreover, an Abstract Partial Reachability Graph is introduced to simplify the Markov solution. Furthermore, the aggregate approach is applied to evaluate performance of a parallel operation system.

本文言語English
ページ(範囲)933-939
ページ数7
ジャーナルMicroelectronics Reliability
31
5
DOI
出版ステータスPublished - 1991
外部発表はい

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Safety, Risk, Reliability and Quality
  • Condensed Matter Physics
  • Surfaces, Coatings and Films
  • Electrical and Electronic Engineering

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