Markov regenerative SPN with non-overlapping activity cycles

Andrea Bobbio, Miklos Telek

Research output: Paper

43 Citations (Scopus)

Abstract

The paper discusses a class of Markov Regenerative Stochastic Petri Nets (MRSPN) characterized by the fact that the stochastic process subordinated to two consecutive regeneration time points is a semi-Markov reward process. This class of SPN's can accommodate transitions with generally distributed firing time and associated memory policy of both enabling and age type, thus generalizing and encompassing all the previous definitions of MRSPN. An unified analytical procedure is developed for the derivation of closed form expressions for the transient and steady state probabilities.

Original languageEnglish
Pages124-133
Number of pages10
Publication statusPublished - jan. 1 1995
EventProceedings of the IEEE International Computer Performance and Dependability Symposium - Erlangen, Ger
Duration: ápr. 24 1995ápr. 26 1995

Other

OtherProceedings of the IEEE International Computer Performance and Dependability Symposium
CityErlangen, Ger
Period4/24/954/26/95

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Bobbio, A., & Telek, M. (1995). Markov regenerative SPN with non-overlapping activity cycles. 124-133. Paper presented at Proceedings of the IEEE International Computer Performance and Dependability Symposium, Erlangen, Ger, .