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1、CharacterizingUserBehaviorandNetworkPerformanceinaPublicWirelessLANAnandBalachandranGeoffreyM.VoelkerParamvirBahlP.VenkatRanganU.C.,SanDiegoU.C.,SanDiegoMicrosoftResearchU.C.,SanDiego9500GilmanDr.01149500GilmanDr.0114OneMicrosoftWay9500GilmanDr.0114LaJolla,CA92093La
2、Jolla,CA92093Redmond,WA98052LaJolla,CA92093anandb@cs.ucsd.eduvoelker@cs.ucsd.edubahl@microsoft.comvenkat@cs.ucsd.eduABSTRACTbehaviorandtrafficcharacteristicsinauniversitydepartmentnet-Thispaperpresentsandanalyzesuserbehaviorandnetworkperfor-work[19]and,veryrecently,a
3、collegecampus[11].manceinapublic-areawirelessnetworkusingaworkloadcapturedatawell-attendedACMconference.Thegoalsofourstudyare:(1)Inthispaper,weextendpreviousstudiesbypresentingandanalyz-toextendourunderstandingofwirelessuserbehaviorandwirelessinguserbehaviorandnetwo
4、rkperformanceinapublic-areawire-networkperformance;(2)tocharacterizewirelessusersintermsoflessnetworkusingatracerecordedoverthreedaysattheACMaparameterizedmodelforusewithanalyticandsimulationstud-SIGCOMM'01conferenceheldatU.C.SanDiegoinAugust2001.iesinvolvingwireles
5、sLANtraffic;and(3)toapplyourworkloadThetraceconsistsoftwoparts.Thefirstpartisarecordofperfor-analysisresultstoissuesinwirelessnetworkdeployment,suchasmancemonitoringdatasampledfromwirelessaccesspoints(APs)capacityplanning,andpotentialnetworkoptimizations,suchasal-serv
6、ingtheconference,andthesecondconsistsofanonymizedgorithmsforloadbalancingacrossmultipleaccesspoints(APs)inpacketheadersofallwirelesstraffic.Bothpartsofthetracespanawirelessnetwork.thethreedaysoftheconference,capturingtheworkloadof300,000flowsfrom195usersconsuming4.6GB
7、ofbandwidth.1.INTRODUCTIONThehigh-levelgoalsofourstudyarethree-fold.First,wewanttoAdvancesincommunicationtechnologyandtheproliferationofsupplementtheexistingdomainknowledgeaboutwirelessuserbe-lightweight,hand-helddeviceswithbuilt-in,high-speedradioac-haviorandwirele
8、ssnetworkperformance;researchinWebinfras-cessaremakingwirelessaccesstotheInternetthecommoncasetructure,forexample,hasgreatlybenefitedfromth