Preemptive repeat identical transitions in Markov regenerative stochastic Petri Nets

Andrea Bobbio, Vidyadhar G. Kulkarni, Antonio Puliafito, Miklos Telek, Kishor S. Trivedi

Research output: Paper

16 Citations (Scopus)

Abstract

The recent literature on Markov Regenerative Stochastic Petri Nets (MRSPN) assumes that the random firing time associated to each transition is resampled each time the transition fires or is disabled by the firing of a competitive transition. This modeling assumption does not cover the case of preemption mechanisms of repeat identical nature (pri). In this policy, an interrupted job must be repeated with an identical requirement so that its associated random variable must not be resampled. The paper investigates the implication of a pri policy into a MRSPN and describes an analytical procedure for the derivation of expressions for the transient probabilities.

Original languageEnglish
Pages113-122
Number of pages10
Publication statusPublished - dec. 1 1995
EventProceedings of the 6th International Workshop on Petri Nets and Performance Models - Durham, NC, USA
Duration: okt. 3 1995okt. 6 1995

Other

OtherProceedings of the 6th International Workshop on Petri Nets and Performance Models
CityDurham, NC, USA
Period10/3/9510/6/95

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ASJC Scopus subject areas

  • Applied Mathematics
  • Modelling and Simulation

Cite this

Bobbio, A., Kulkarni, V. G., Puliafito, A., Telek, M., & Trivedi, K. S. (1995). Preemptive repeat identical transitions in Markov regenerative stochastic Petri Nets. 113-122. Paper presented at Proceedings of the 6th International Workshop on Petri Nets and Performance Models, Durham, NC, USA, .