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Automated time scale decomposition and analysis of stochastic Petri nets

  • A. Blakemore
  • , S. K. Tripathi
    • University of Maryland, College Park

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations

    Abstract

    The automated application of time-scale decomposition to stochastic Petri nets is studied. Time-scale decomposition exploits the tendency of a system to approach a short-term equilibrium between relatively rare events and has been extensively studied in the context of Markov chains and queuing networks. Previous approaches for applying time-scale decomposition to SPN models relied heavily upon human insight in ways what hampered algorithmic implementation. A simple and effective method for specifying the time-scale decomposition of a SPN is presented, and solution techniques that take advantage of structural information from the SPN are described.

    Original languageEnglish
    Title of host publicationProceedings of 5th International Workshop on Petri Nets and Performance Models, PNPM 1993
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages248-257
    Number of pages10
    ISBN (Electronic)0818642505, 9780818642500
    DOIs
    StatePublished - 1993
    Event5th International Workshop on Petri Nets and Performance Models, PNPM 1993 - Toulouse, France
    Duration: Oct 19 1993Oct 22 1993

    Publication series

    NameProceedings of 5th International Workshop on Petri Nets and Performance Models, PNPM 1993

    Conference

    Conference5th International Workshop on Petri Nets and Performance Models, PNPM 1993
    Country/TerritoryFrance
    CityToulouse
    Period10/19/9310/22/93

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