Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/2945

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dc.contributor.authorSousa, Pedro-
dc.contributor.authorCarvalho, Paulo-
dc.contributor.authorFreitas, Vasco-
dc.date.accessioned2005-09-16T13:46:49Z-
dc.date.available2005-09-16T13:46:49Z-
dc.date.issued2002-05-
dc.identifier.citation"Lecture Notes in Computer Science" ISSN 0302-9743. 2345 (2002) 709-720.eng
dc.identifier.isbn3540437096por
dc.identifier.issn0302-9743-
dc.identifier.urihttps://hdl.handle.net/1822/2945-
dc.description.abstractThis article evaluates the use of Priority Queueing models to achieve delay differentiation in IP networks operating under the Class of Services paradigm. Three models are considered: proportional model, additive model and a novel hybrid schema based on the upper time limit model. The characteristics, behaviour and viability of these models are analysed as regards traffic delay differentiation. The impact of each model on traffic aggregation and on individual flows is also evaluated. This study is complemented by the analysis of delay differentiation from an end-to-end perspective. An adaptive differentiation mechanism is also proposed and discussed.eng
dc.description.sponsorship(undefined)por
dc.language.isoengeng
dc.publisherSpringer Verlageng
dc.rightsopenAccesseng
dc.subjectSchedulingeng
dc.subjectQuality-of-serviceeng
dc.subjectPriority queuing modelseng
dc.subjectTraffic differentiationeng
dc.titleTuning delay differentiation in IP networks using priority queueing modelseng
dc.typeconferencePapereng
dc.peerreviewedyeseng
oaire.citationStartPage709por
oaire.citationEndPage720por
oaire.citationVolume2345por
sdum.journalLecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)por
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