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Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2009, Vol. 10 Issue (2): 165-171    DOI: 10.1631/jzus.A0820268
Electrical & Electronic Engineering     
Stochastic individual predicate/transition nets
Yao YUE, Chun-ming ZHANG, Hai-xin WANG, Guo-qiang BAI, Hong-yi CHEN
Institute of Microelectronics, Tsinghua University, Beijing 100084, China
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Abstract  We analyze the drawbacks of generally distributed time transition stochastic Petri nets (GDTT_SPN) in evaluating the performance of parallel systems, and propose a more general model, stochastic individual predicate/transition nets (SIPTN). SIPTN has higher modeling power and could provide more realistic models compared to GDTT_SPN, because in SIPTN the sojourn time distribution is determined not only by the transition, but also by the individuals. It is further proved that GDTT_SPN is a subset of SIPTN. As SIPTN introduces folding techniques from predicate/transition nets, SIPTN models have simpler and more intuitive graphic notations and accordingly higher usability, and thus are suitable for constructing simulation models for parallel systems.

Key wordsFormal model      Parallel system      Performance analysis      Simulation      Stochastic Petri nets     
Received: 08 April 2008     
CLC:  TN47  
  TP301.2  
Cite this article:

Yao YUE, Chun-ming ZHANG, Hai-xin WANG, Guo-qiang BAI, Hong-yi CHEN. Stochastic individual predicate/transition nets. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2009, 10(2): 165-171.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.A0820268     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2009/V10/I2/165

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