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1、Application-LevelTrafficMonitoringandanAnalysisonIPNetworksMyung-SupKim,YoungJ.Won,andJamesWon-KiHongAmajorproblemwithcurrentInternettrafficmonitoringI.Introductionandanalysisconcernsthelargenumberofnewlyemergingnetwork-basedapplicationspossessingmorecomplicatedI
2、nadditiontothefundamentalandtraditionalpurposesofcommunicationstructuresandtrafficpatternsthantrafficanalysissuchasnetworkplanning,networkproblemtraditionalapplications.Theamountoftrafficgeneratedbydetection,andnetworkusagereporting,trafficmonitoringandtheseappli
3、cations,suchaspeer-to-peer(P2P),streaminganalysisisrequiredinmanyareastoimprovenetworkservicemedia,games,etc.,isreportedtobewelloverhalfofthetotalqualitysuchasinabnormaltrafficdetectionandusage-basedtraffic.Thedynamicuseofportnumbers,theuseofmultipleaccounting.Ho
4、wever,tocomeupwithanevolutionofthesessions,andotherfeaturesoftheseapplicationscomplicateInternetintermsofunderlyingtechnologiesanduserservices,thecharacterizationofcurrentInternettraffic.Application-networktrafficmonitoringandanalysistechniquesshouldbeleveltraffi
5、cidentificationisapreliminarybutessentialstepimprovedintermsofsystemarchitectureandanalysistowardtrafficcharacterization,whichthispapermainlymethodology.Twocriticalproblemsexistintoday’sInternetaddresses.Traditionaltrafficidentificationmethodsbasedtrafficmonitori
6、ngandanalysis.Thefirstproblemishowtoonwell-knownportnumbersarenotappropriateforthehandleanincreasedandmassiveamountoftrafficdatageneratedidentificationofP2P,streaming,andothernewtypesoffromhigh-speednetworklinks,suchas2.5Gbpsandhigher,inaapplications.Thispaperpro
7、posesanewmethodtoidentifyreal-timemanner[1]-[5].TheotherproblemishowtoanalyzecurrentInternettraffic.First,wecategorizedmostcurrentsophisticatedtrafficdatageneratedfromvariousnewlyemergingnetwork-basedapplicationsintoseveralclassesaccordingtonetwork-basedapplicati
8、onssuchasstreamingmedia,peer-to-theirtrafficpatterns.Usingthiscategorization,wedevelopedpeer(P2P),andgameapplications[6]-[8].aflowgroupingmethodthatdeterminest
