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1、AnSLA-OrientedCapacityPlanningToolforStreamingMediaServicesLudmilaCherkasova,WentingTang,andSharadSinghalHewlett-PackardLaboratories1501PageMillRoad,PaloAlto,CA94303,USAflucy.cherkasova,wenting.tang,sharad.singhalg@hp.comAbstractThemainproblemweaddressinthi
2、spaperishowMoreover,manyclientsdonot nishtheplaybackofatomaptherequirementsofaknownmediaserviceworkloadintofullvideo/audioclipand50%-60%oftheaccesseslastlessthecorrespondingsystemresourcerequirementsandtoaccuratelythan2minutes[3,1].Therefore,mostoftheaccess
3、estosizetherequiredsystem.Inthispaper,weproposeanewcapacitypopularmediaobjectscanbeservedfrommemory,evenplanningframeworkforevaluatingtheresourcesneededforprocess-whenamediaserverreliesontraditional lesystemandingagivenstreamingmediaworkloadwithspeci edperf
4、ormancememorysupportanddoesnothaveadditionalapplicationrequirements.Inourtool,theserviceproviderspeci esthedesir-levelcaching.Thus,thelocalityavailableinaparticularablesystemperformancebystatingtwotypesofrequirementsinaworkloadhasasigni cantimpactonthebehav
5、ioroftheServiceLevelAgreement(SLA):i)basiccapacityrequirementsthatsystem,andthecapacityplanningtoolshouldaccountforde nethepercentageoftimethecon gurationiscapableofprocess-theimpactoftheserver'smainmemory lebu ercacheingtheworkloadwithoutperformancedegrada
6、tionwhilesatisfyingwhenevaluatingandsizingtherequiredcon guration.thespeci edsystemutilizationandii)performabilityrequirementsTheabilitytoplanandoperateatthemostcoste ec-thatde netheacceptabledegradationofserviceperformancedur-tivecapacityisacriticalcompet
7、itiveadvantage.Sinceingtheremaining,non-complianttimeandincaseofnodefail-workloadmeasurementsofexistingmediaservicesindi-ures.Usingasetofspeciallybenchmarkedmediaservercon g-catethatclientdemandsarehighlyvariable(thepeak-urations,thecapacityplanningtoolmat
8、chestheoverallcapacityto-mean"ratiomaybeanorderofmagnitude),itmightrequirementsofthemediaserviceworkloadpro lewiththespeci-notbeeconomicaltooverprovisionthefuturesystemus- edSLAstoidentifythenumberofno
