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Analysis and Evaluation of Non-Markovian Stochastic Petri Nets

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Book cover Computer Performance Evaluation.Modelling Techniques and Tools (TOOLS 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1786))

Abstract

In order to extend their applicability to more complex situations, in this paper we present a new approach for the analysis of non-Markovian Stochastic Petri Net (NMSPN) models, which is based on a discrete time approximation of the stochastic behavior of the marking process. The proposed approach, which resulted in a new modeling tool for the analysis of NMSPNs called WebSPN, allows to analyze a wider class of PN models with prd, prs and pri concurrently enabled generally distributed transitions. This implies the possibility of dealing with very complex systems with arbitrarily distributed events with very complex interrelations among each other. The adopted technique is described, an application example is solved and the results are carefully analyzed in order to demonstrate the validity of the proposed approach.

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Author information

Authors and Affiliations

  1. Department of Telecommunications, Technical University of Budapest, 1521, Budapest, Hungary

    András Horváth & Miklós Telek

  2. Istituto di Informatica e Telecomunicazioni, Università di Catania, 95125, Catania, Italy

    Antonio Puliafito & Marco Scarpa

Authors
  1. András Horváth
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  2. Antonio Puliafito
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  3. Marco Scarpa
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  4. Miklós Telek
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Editor information

Editors and Affiliations

  1. Department of Computer Science, RWTH Aachen, 52056, Aachen, Germany

    Boudewijn R. Haverkort  & Henrik C. Bohnenkamp  & 

  2. Performance Engineering Services Division, MS 110, L&S Computer Technology, Inc., P.O. Box 9802, Austin, TX, 78766, USA

    Connie U. Smith

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© 2000 Springer-Verlag Berlin Heidelberg

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Horváth, A., Puliafito, A., Scarpa, M., Telek, M. (2000). Analysis and Evaluation of Non-Markovian Stochastic Petri Nets. In: Haverkort, B.R., Bohnenkamp, H.C., Smith, C.U. (eds) Computer Performance Evaluation.Modelling Techniques and Tools. TOOLS 2000. Lecture Notes in Computer Science, vol 1786. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46429-8_13

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  • DOI: https://doi.org/10.1007/3-540-46429-8_13

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67260-9

  • Online ISBN: 978-3-540-46429-7

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