Importance sampling, jump distributions and event-time distributions

Michael R. Frater*, Brian D.O. Anderson

*Corresponding author for this work

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

    Abstract

    Two different methods have been proposed for performing asymptotically optimal simulation to obtain the statistics of buffer overflows in queuing networks, with both using large deviations and importance sampling. In the first, based on heuristic arguments, the distributions of interarrival and virtual service times are analyzed to find the simulation system. In the second, it is the distribution of jumps occurring in a Markov chain that is examined. In the present work, the authors show that the approaches will produce identical fast simulation systems for an arbitrary GI/GI/1 queue.

    Original languageEnglish
    Title of host publicationProceedings of the IEEE Conference on Decision and Control
    PublisherPubl by IEEE
    Pages1525-1526
    Number of pages2
    ISBN (Print)0780304500
    Publication statusPublished - 1991
    EventProceedings of the 30th IEEE Conference on Decision and Control Part 1 (of 3) - Brighton, Engl
    Duration: 11 Dec 199113 Dec 1991

    Publication series

    NameProceedings of the IEEE Conference on Decision and Control
    Volume2
    ISSN (Print)0191-2216

    Conference

    ConferenceProceedings of the 30th IEEE Conference on Decision and Control Part 1 (of 3)
    CityBrighton, Engl
    Period11/12/9113/12/91

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