Heavy Traffic Limit Theorems for a Queue with Poisson ON/OFF Long-range Dependent Sources and General Service Time Distribution

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摘要 InInternetenvironment,trafficflowtoalinkistypicallymodeledbysuperpositionofON/OFFbasedsources.DuringeachON-periodforaparticularsource,packetsarriveaccordingtoaPoissonprocessandpacketsizes(henceservicetimes)canbegenerallydistributed.Inthispaper,weestablishheavytrafficlimittheoremstoprovidesuitableapproximationsforthesystemunderfirst-infirst-out(FIFO)andwork-conservingservicediscipline,whichstatethat,whenthelengthsofbothON-andOFF-periodsarelightlytailed,thesequencesofthescaledqueuelengthandworkloadprocessesconvergeweaklytoshort-rangedependentreflectingGaussianprocesses,andwhenthelengthsofON-and/orOFF-periodsareheavilytailedwithinfinitevariance,thesequencesconvergeweaklytoeitherreflectingfractionalBrownianmotions(FBMs)orcertaintypeoflongrangedependentreflectingGaussianprocessesdependingonthechoiceofscalingasthenumberofsuperposedsourcestendstoinfinity.Moreover,thesequencesexhibitastatespacecollapse-likepropertywhenthenumberofsourcesislargeenough,whichisakindofextensionofthewell-knownLittle’slawforM/M/1queueingsystem.Theorytojustifytheapproximationsisbasedonappropriateheavytrafficconditionswhichessentiallymeanthattheserviceratecloselyapproachesthearrivalratewhenthenumberofinputsourcestendstoinfinity.
机构地区 不详
出版日期 2012年04月14日(中国期刊网平台首次上网日期,不代表论文的发表时间)
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