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dc.contributor.authorVerloop, I.M.
dc.contributor.authorAyesta, U.
dc.contributor.authorNúñez-Queija, R.
dc.date.accessioned2017-02-21T08:11:14Z
dc.date.available2017-02-21T08:11:14Z
dc.date.issued2009-12-31
dc.identifier.issn0163-5999
dc.identifier.urihttp://hdl.handle.net/20.500.11824/390
dc.description.abstractWe analyze a generalization of the Discriminatory Processor Sharing (DPS) queue in a heavy-traffic setting. Customers present in the system are served simultaneously at rates controlled by a vector of weights. We assume phase-type distributed service requirements and allow that customers have different weights in various phases of their service. We establish a state-space collapse for the queue length vector in heavy traffic. The result shows that in the limit, the queue length vector is the product of an exponentially distributed random variable and a deterministic vector. This generalizes a previous result by [12] who considered a DPS queue with exponentially distributed service requirements. We finally discuss some implications for residual service requirements and monotonicity properties in the ordinary DPS model.
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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.titleHeavy-traffic analysis of the M/PH/1 Discriminatory Processor Sharing queue with phase-dependent weights
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.identifier.doi10.1145/1639562.1639577
dc.relation.publisherversionhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-78651458089&doi=10.1145%2f1639562.1639577&partnerID=40&md5=a03e1a5495a454c886957b989c8b4420
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen_US
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionen_US
dc.journal.titlePerformance Evaluation Reviewen_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