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1、MeasuringandModellingtheGroupMembershipintheInternetJun-HongCui1,MichalisFaloutsos3,DarioMaggiorini4,MarioGerla2,KhaledBoussetta2Emails:jcui@cse.uconn.edu,michalis@cs.ucr.edu,dario@dico.unimi.it,gerla@cs.ucla.edu,boukha@cs.ucla.edu1ComputerScience&EngineeringDepar
2、tment,UniversityofConnecticut,Storrs,CT060292ComputerScienceDepartment,UniversityofCalifornia,LosAngeles,CA900953ComputerScience&Engineering,UniversityofCalifornia,Riverside,CA925214ComputerScienceDepartment,UniversityofMilan,viaComelico39,I-20135,Milano,ItalyABST
3、RACTresearchcangreatlybenefitfromrealisticmodelsandasystematicevaluationmethodology([7][25][10][21][8][23][22][26][30]Inthispaper,wemeasureandmodelthedistributionofmulticast[14]).Despitethesignificantbreakthroughsinmodellingthetraf-groupmembers.Multicastresearchhast
4、raditionallybeenplaguedficandthetopologyoftheInternet,therehasbeenlittleprogressbyalackofrealdataandanabsenceofasystematicsimulationinmulticastmodelling.Asaresult,thedesignandevaluationofmethodology.Althoughtemporalgrouppropertieshavereceivedmulticastprotocolsisbas
5、edoncommonlyacceptedbutoftenun-someattention,thelocationofgroupmembershasnotbeenmea-provenassumptions.Forexample,themajorityofsimulationstud-suredandmodelled.However,theplacementofmemberscanhaveiesassumesthattheusersareuniformlydistributedinthenetwork.significantim
6、pactonthedesignandevaluationofmulticastschemesInthispaper,wechallengethisassumptionandstudythespatialandprotocolsasshowninpreviousstudies.Inourwork,weiden-propertiesofgroupmembers,suchasclusteringandcorrelation.tifypropertiesofmembersthatreflecttheirspatialclusteri
7、ngandArealisticandsystematicmembershipmodelcanhavesignifi-thecorrelationamongthem(suchasparticipationprobability,andcantimpactonthedesignanddevelopmentofmulticastprotocols.pairwisecorrelation).Then,weobtainvaluesforthesepropertiesSpatialinformationcanhelpusaddresst
8、hescalabilityissues,whichbymonitoringthemembershipofnetworkgamesandlargeaudio-hasalwaysbeenamajorconcerninmulticasting.Similarly,reli-videobroadcastsfro
