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1、杭州电子科技大学硕士学位论文resourcesautomatically.(2)Forresourcemanagementofmultiplephysicalmachines,thispaperpresentsd如果ferentresourcemanagementmodelsandalgorithmsaccordingtod如果ferentapplicationenvironments,andthendesignsresourcesallocationmanagerbasedond如果ferentconstraint.Itdevelopsrelevantmigrationstrate
2、gyforthevirtualmachinemigrationbasedonmigrationcost,resourceutilization,loadbalanceandthenumberofmachines,anddividestheresourcemanagementmodelintotwophases.Fortheresourcemanagementoflimited,QoSguarantees,certainutilizationandloadbalancearemainobjective,Sub-VirtualMachineSet(SVMS)andMigrationalg
3、orithmsareproposed.Theresourcemanagementisdividedintolocalcontrolandoverallcontrolphases.ThispaperalsocarriesouttheoryproofoftheoptimalforSVMSalgorithm,ensuresloadbalanceandresourceutilization,meetstheservicequalityrequirementsofapplications.(3)Forresourceallocationmanagementofnolimit,theinitia
4、lphasedetermineswhichVMshouldbemigratedbasedonmeetingQoS,maximizingresourceutilizationandminimizingmigrationoverhead.ItalsopresentstheSearchVirtualMachine(SVM)algorithmforthisphase.Thesecondstageformulatesmigrationprogram,andthendesignsImprovedMigration(IM)algorithmtomigrateVMs,withtheaimofleas
5、tnumberofphysicalmachinesandthelargestresourceutilization,whichreducetheusageofmachine,ensuringthecertainresourceutilization.TheCPUallocationcontrolexperimentonXeniscarriedoutforthesingleresourceallocationmanagement.Theresultsshowthatwhenthetargetutilizationratechangesovertime,themodelisabletot
6、rackthesechangesquickly,sothattheresourcesallocationvaluealsovarieswiththechange.Theallocationvaluecanachievethetargetutilizationrequirements,andutilizationscanquicklyconvergetothetargetvalue.Thesimulativeemulationofmulti-machineresourcemanagementshowsthattheSVMSMalgorithmgetsgreatimprovementsi
7、nresourceutilization,migrationoverheadandloadbalance,andtheSVMIMalgorithmhasgoodresultsinresourceutilization,usageofphysicalmachinesandenergyconsumptionofsystem.Keywords:XenVirtualMachine,dynamicmigration,greyprediction,adaptiveal
