Stabilization of an overloaded queueing network using measurement-based admission control

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dc.creatorLeskelä, Lasse
dc.date2007-08-20
dc.date.accessioned2026-07-07T08:24:41Z
dc.date.available2026-07-07T08:24:41Z
dc.descriptionAdmission control can be employed to avoid congestion in queueing networks subject to overload. In distributed networks the admission decisions are often based on imperfect measurements on the network state. This paper studies how the lack of complete state information affects the system performance by considering a simple network model for distributed admission control. The stability region of the network is characterized and it is shown how feedback signaling makes the system very sensitive to its parameters.
dc.descriptionPublished at http://dx.doi.org/10.1239/jap/1143936256 in the Journal of Applied Probability (http://projecteuclid.org/jap) by the Applied Probability Trust (http://www.appliedprobability.org/)
dc.identifierhttps://arxiv.org/abs/0708.2739
dc.identifierhttp://arxiv.org/abs/0708.2739
dc.identifierJournal of Applied Probability 2006 Vol. 43, No. 1, 231-244
dc.identifierdoi:10.1239/jap/1143936256
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/136423
dc.subjectProbability
dc.subject60K25, 68M20, 90B15, 90B22
dc.titleStabilization of an overloaded queueing network using measurement-based admission control
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