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MEC边缘引流部署方案研究 Title:ResearchonDeploymentStrategiesforMulti-accessEdgeComputing(MEC)EdgeDraining Abstract: Multi-accessEdgeComputing(MEC)hasemergedasapromisingparadigmtoaddressthegrowingdemandsoflow-latencyandhigh-bandwidthapplications.MECleveragesedgeserverslocatedclosertoend-userstooffloadcomputationandstorageresources,allowingforfasterprocessingandreduceddatatransferlatency.However,efficientresourcemanagementanddeploymentstrategiesarecrucialtofullyharnessthepotentialofMECinfrastructure.ThispaperexploresdifferentedgedrainingdeploymentstrategiesforMEC,withafocusonoptimizingresourceutilizationandminimizingnetworkcongestion. 1.Introduction: Theexplosivegrowthofdata-intensiveapplicationsandtheincreasingdemandforlow-latencyserviceshaveledtotheevolutionofedgecomputing.MEC,asanextensionofedgecomputing,bringscomputationandstoragecapabilitiesclosertoend-users.Edgedrainingreferstotheprocessofoffloadingapplicationsfromthecorenetworktotheedgeservers,reducingnetworkcongestionandenablingenhancedqualityofservice(QoS).ThispaperaimstoinvestigatevariousedgedrainingdeploymentstrategiesforMECtoimproveresourceutilizationandreducenetworkcongestion. 2.ChallengesandOpportunities: a.ResourceUtilization:Effectivelymanagingresourcesdistributedacrossmultipleedgeserversiscritical.Coordinatingtheallocationofcomputationalandstorageresourcesensuresefficientworkloadbalancingandpreventsover-provisioningorunderutilization. b.NetworkCongestion:Asmoreapplicationsareoffloadedtoedgeservers,networkcongestionmayoccur,leadingtoperformancedegradationandcompromisedQoS.Optimizingedgedrainingdeploymentstrategiescanminimizenetworkcongestionandensuresmoothoperation. 3.DeploymentStrategies: a.Proximity-BasedDeployment:Thisstrategyinvolvesdeployingedgeserversincloseproximitytoend-userstominimizelatencyandreducedatatransferdistances.Byusinggeographicinformationoruserdensitydata,edgeserverscanbestrategicallyplacedtoprovideoptimalservicedelivery. b.Load-AwareDeployment:Thisstrategyconsidersbothcomputationalandstorage