Representation and analysis of behavior for multiprocess systems by using stochastic Petri nets

Qun Jin, Y. Sugasawa

研究成果: Article

7 引用 (Scopus)

抄録

This paper proposes a new approach to visually represent the behavior of multiprocess in a computer network system using stochastic Petri net (SPN) and an aggregate approach of SPN and Markov renewal process (MRP) to conduct behavior analysis and performance evaluation for the system. SPN is employed because of its highly visual nature that can give insight into the nature of the modeled system and because of its expressive power for an exponentially distributed event. In order to increase the analytical power of the SPN model, MRP is introduced and an embedded transference probability matrix is applied to obtain the steady-state solution of the model, from which it is possible to obtain automatically the performance measures of the multiprocess computer network system.

元の言語English
ページ(範囲)109-118
ページ数10
ジャーナルMathematical and Computer Modelling
22
発行部数10-12
DOI
出版物ステータスPublished - 1995
外部発表Yes

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Stochastic Petri Nets
Petri nets
Markov Renewal Process
Computer Networks
Computer networks
Markov processes
Expressive Power
Steady-state Solution
Performance Measures
Performance Evaluation
Model

ASJC Scopus subject areas

  • Computer Science Applications
  • Modelling and Simulation

これを引用

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