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Markov Regenerative Stochastic Petri Nets with age type general transitions

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Book cover Application and Theory of Petri Nets 1995 (ICATPN 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 935))

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Abstract

Markov Regenerative Stochastic Petri Nets (MRSPN) have been recently introduced in the literature with the aim of combining exponential and non-exponential firing times into a single model. However, the realizations of the general MRSPN model, so far discussed, require that at most a single non-exponential transition is enabled in each marking and that its associated memory policy is of enabling type. The present paper extends the previous models by allowing the memory policy to be of age type and by allowing multiple general transitions to be simultaneously enabled, provided that their enabling intervals do not overlap. A final completely developed example, that couldn't have been considered in previous formulations, derives the closed form expressions for the transient state probabilities for a queueing system with preemptive resume (prs) service policy.

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Giorgio De Michelis Michel Diaz

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© 1995 Springer-Verlag Berlin Heidelberg

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Telek, M., Bobbio, A. (1995). Markov Regenerative Stochastic Petri Nets with age type general transitions. In: De Michelis, G., Diaz, M. (eds) Application and Theory of Petri Nets 1995. ICATPN 1995. Lecture Notes in Computer Science, vol 935. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60029-9_55

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  • DOI: https://doi.org/10.1007/3-540-60029-9_55

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  • Print ISBN: 978-3-540-60029-9

  • Online ISBN: 978-3-540-49408-9

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