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dc.contributor.authorJacko, P.
dc.contributor.authorSansò, B.
dc.date.accessioned2017-02-21T08:11:15Z
dc.date.available2017-02-21T08:11:15Z
dc.date.issued2012-12-31
dc.identifier.issn0166-5316
dc.identifier.urihttp://hdl.handle.net/20.500.11824/396
dc.description.abstractThis paper is concerned with a new type of congestion control method that we call anticipative congestion control, which exploits probabilistic information available at a network node about congestion at other nodes. Motivated by the Internet flows behaving according to the Transmission Control Protocol, we consider a flow with time-varying input stream. We design a Markov decision process model for flow admission control and characterize the Whittle index in a closed form. This index measures the efficiency of flow data transmission at a router. We prove that such an index policy is optimal and that it further implies optimality of threshold policies. We apply the results to obtain an expression of the index for a single-bottleneck flow under several types of fairness criteria.
dc.formatapplication/pdf
dc.language.isoengen_US
dc.rightsReconocimiento-NoComercial-CompartirIgual 3.0 Españaen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/en_US
dc.subjectActive queue management
dc.subjectCongestion control
dc.subjectExplicit Congestion Notification (ECN)
dc.subjectFairness
dc.subjectMarkov decision process
dc.subjectRestless bandits
dc.subjectThreshold policy
dc.subjectTransmission Control Protocol (TCP)
dc.subjectWhittle index
dc.titleOptimal anticipative congestion control of flows with time-varying input stream
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.doi10.1016/j.peva.2011.10.001
dc.relation.publisherversionhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84856624069&doi=10.1016%2fj.peva.2011.10.001&partnerID=40&md5=9d7e1206dde82ccbbcffeb08b249c3f4
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen_US
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionen_US
dc.journal.titlePerformance Evaluationen_US


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Reconocimiento-NoComercial-CompartirIgual 3.0 España
Except where otherwise noted, this item's license is described as Reconocimiento-NoComercial-CompartirIgual 3.0 España