Adaptive Dynamic Congestion Avoidance with Master Equation

dc.creatorSüzen, Mehmet
dc.creatorSüzen, Ziya
dc.date2008-08-28
dc.date2008-09-18
dc.date.accessioned2026-07-07T10:03:25Z
dc.date.available2026-07-07T10:03:25Z
dc.descriptionThis paper proposes an adaptive variant of Random Early Detection (RED) gateway queue management for packet-switched networks via a discrete state analog of the non-stationary Master Equation i.e. Markov process. The computation of average queue size, which appeared in the original RED algorithm, is altered by introducing a probability $P(l,t)$, which defines the probability of having $l$ number of packets in the queue at the given time $t$, and depends upon the previous state of the queue. This brings the advantage of eliminating a free parameter: queue weight, completely. Computation of transition rates and probabilities are carried out on the fly, and determined by the algorithm automatically. Simulations with unstructured packets illustrate the method, the performance of the adaptive variant of RED algorithm, and the comparison with the standard RED.
dc.description7 pages, 2 figure, technical report
dc.identifierhttps://arxiv.org/abs/0808.3990
dc.identifierhttp://arxiv.org/abs/0808.3990
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/169283
dc.subjectNetworking and Internet Architecture
dc.subjectC.2
dc.titleAdaptive Dynamic Congestion Avoidance with Master Equation
dc.typetext

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