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1、APerformanceComparisonofMonofractalandMultifractalTrafficStreamsRamBalakrishnanCareyWilliamsonDepartmentofComputerScienceUniversityofSaskatchewanE-mail:carey@cs.usask.caAbstractOneapproachformodelingmonofractal(i.e.,self-similar)trafficisproposedbyNorros[1
2、0].ThisapproachThispaperfocusesonthedifferencesbetweenmonofrac-usesthreeparameters–themeanbitrate (inunitsoftalandmultifractalnetworktraffic,bothintermsofmod-bits/sec),theNorrosvariancecoefficient(thevariance-to-elingapproaches,andintermsofpracticalimpact
3、sonnet-meanratioofthetrafficatthe1.0-secondtimescale,inunitsworkperformance.Empiricaltraffictracesareusedintheofbit-sec),andtheHurstparameter(aunit-lessvaluebe-parameterizationandevaluationoftrafficmodels.Simu-tween0.5and1.0,whichquantifiestheglobalscalingp
4、rop-lationisusedtoevaluatetheperformancedifferencesbe-ertiesofthetrafficacrosstimescales,andhencethedegreetweenmonofractalandmultifractaltraffic,bothforindivid-oflong-rangedependence)–forcharacterizingself-similarualtrafficstreamsandforaggregationsoftraffics
5、treams.datatraffic[10,17].However,onedrawbackoftheNor-Thesimulationresultsindicatethatmultifractaltrafficof-rostrafficmodelisthatitdoesnotcharacterizeshort-rangefersgreaterpotentialformultiplexinggains,bothwithincorrelations[1],whichhavebeenshowninthelitera
6、turetoandacrosssources.Thesensitivityoftheseresultstosourcehavesignificantimpactonthequeueingbehavior(andthuscharacteristicsandswitchbuffersizeisalsoexplored.thebufferoverflowprocess)inpracticalnetworks[6,7,13].MorerecentnetworktrafficanalyseshaveshownthatW
7、AN(WideAreaNetwork)TCP/IP(TransmissionControl1.IntroductionProtocol/InternetProtocol)trafficismultifractalinnature.Thatis,thetrafficexhibitsdifferentscalingcharacteristicsatlargetimescales(e.g.,hundredsofmillisecondsormore)Accuratetrafficmodelingiscrucialfo
8、rnetworkperfor-thanatsmallertimescales[3,5].mancestudies.Highspeedmultimedianetworksexhibitcomplextopologies,heterogeneoustransmissionspeeds,TocapturethemultifractalcharacteristicsofnetworkandawiderangeofQoSrequirements.Co
