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1、UsingDataStreamManagementSystemsforTrafficAnalysis–ACaseStudy–2,12,11ThomasPlagemann,VeraGoebel,AndreaBergamini,111GiacomoTolu,GuillaumeUrvoy-Keller,ErnstW.Biersack1InstitutEurecom,CorporateCommunications,2229RoutedesCrêtesBP193F-06904SophiaAntipolisCedex
2、,France{bergamin,tolu,urvoy,erbi}@eurecom.fr2UniversityofOslo,DepartmentofInformatics,Postbox1080Blindern,0316Oslo,Norway{plageman,goebel}@ifi.uio.noAbstract.Manytrafficanalysistasksaresolvedwithtoolsthataredevelopedinanad-hoc,incremental,andcumbersomeway
3、insteadofseekingsystematicsolutionsthatareeasytoreuseandunderstand.Thehugeamountofdatathathastobemanagedandanalyzedtogetherwiththefactthatmanydifferentanalysistasksareperformedoverasmallsetofdifferentnetworktraceformats,motivatesustostudywhetherDataStream
4、ManagementSystems(DSMSs)mightbeusefultodeveloptrafficanalysistools.Wehaveperformedanex-perimentalstudytoanalyzetheadvantagesandlimitationsofusingDSMSinpractice.WestudyhowsimpleandcomplexanalysistaskscanbesolvedwithTelegraphCQ,apublicdomainDSMS,andpresenta
5、preliminaryperformanceanalysis.1IntroductionandMotivationThenumberoftoolsforanalyzingdatatrafficintheInternetiscontinuouslyincreas-ing,becausethereisanincreasingneedinmanydifferentapplicationdomains.Forexample,networkoperatorsandserviceprovidersneedtomoni
6、tordatatraffictoanalyzetheprovidedservicelevel,toidentifybottlenecks,andinitiateappropriatecountermeasures,ifpossible.ThisisespeciallyimportantintheInternet,becausetheamountofdatatrafficcontinuouslyincreasesandthebehaviorandrequirementsofend-usersarechang
7、ingovertime,likeacceptedresponsetimefromwebservers.Anotherapplicationdomainisthedevelopmentandimprovementofnewprotocolsandapplications,likeoverlaynetworksandpeer-to-peer(P2P)filesharingapplica-tions.Thecomplexityoftheseprotocolsandapplications,aswellasthe
8、complexityoftheenvironmenttheyareusedin,oftenimposethatameaningfulanalysiscanonlybedoneduringtheiroperationintheInternet.Thetypicalcoarsegrainarchitectureofthesetoolsconsistoftwocomponents,first,apacketcapturingorfl