Tail Asymptotics for Discrete Event Systems

dc.creatorLelarge, Marc
dc.date2007-01-15
dc.date2007-03-16
dc.date.accessioned2026-07-07T07:52:04Z
dc.date.available2026-07-07T07:52:04Z
dc.descriptionIn the context of communication networks, the framework of stochastic event graphs allows a modeling of control mechanisms induced by the communication protocol and an analysis of its performances. We concentrate on the logarithmic tail asymptotics of the stationary response time for a class of networks that admit a representation as (max,plus)-linear systems in a random medium. We are able to derive analytic results when the distribution of the holding times are light-tailed. We show that the lack of independence may lead in dimension bigger than one to non-trivial effects in the asymptotics of the sojourn time. We also study in detail a simple queueing network with multipath routing.
dc.description19 pages, 2 figures, mistake in appendix corrected
dc.identifierhttps://arxiv.org/abs/math/0701420
dc.identifierhttp://arxiv.org/abs/math/0701420
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/125746
dc.subjectProbability
dc.subject60F10; 60K25
dc.titleTail Asymptotics for Discrete Event Systems
dc.typetext

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