advancement proposal storage embedded networks (sen) and adaptive caching using multiple exnew

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1、AdvancementProposalStorageEmbeddedNetworks(SEN)andAdaptiveCachingusingMultipleExperts(ACME)IsmailAriari@cs.ucsc.eduUCSC-CRL-03-01June2,2003DepartmentofComputerScienceUniversityofCalifornia,SantaCruz0ABSTRACTThegapbetweenCPUspeedsandthespeedofthetechnologiesprovidingthedataisincr

2、easing.Thiscausestheperformanceofprocessestobelimitedbytheperformanceofthestoragedevices,thenetworksandthebuses.Furthermore,thenumberofCPUsthatsharethesedataaccessresourcesisgrowingexponentially.Caching,prefetchingandparallelismaresomeofthetechniquesusedtodaytocopewithI/Olatency

3、andsystemscalabilitytosupportmoreusers.Thispaperdescribesthetwomajorcontributionsofourongoingresearchondistributeddataaccess.ThefirstcontributionisthedesignoftheStorageEmbeddedNetworks(SEN)architecturethataimstoimproveuserresponsetimesandscalabilityontheInternetbybetterdistributi

4、onofcaches.SENarchitectureiscomposedoftrustedroutersembeddedwithvolatileandnon–volatilestoragethatsnoopbypassingobjectsforcaching.Requestsarecheckedbyeveryhop,thusensuringthetransmissionoftheclosestcopyonthedatapathandloadreductionattheupstream.Thetwomaincontroloverheadsofothera

5、rchitectures,connectionestablishmentandcontinuouscachecommunications,donotexistinSEN.Thesecondcontributionisthedesignofadaptivecachingschemesusingmultipleex-perts,calledACME,thatmanagetheSENcachesandfurtherimprovethehitratesoverstaticcachingtechniques.Machinelearningalgorithmsar

6、eusedtorateandselectthecur-rentbestpoliciesormixturesofpoliciesviaweightupdatesbasedontheirrecentsuccess.Eachadaptivecachenodecantuneitselfbasedontheworkloaditobserves.Sincenocachedatabasesorsynchronizationmessagesareexchangedforadaptivity,theclusterscomposedofthesenodeswillbeex

7、ceedinglyscalableandmanageable.Weproposetoextendourpreliminarydesignsandanalysisintwodirections.ThefirstistocomparetheStorageEmbeddedNetworks(SEN)withtheexistinghierarchicalanddistributedcacheclustersintermsofuserresponsetimes,networkbandwidthusage,serverloadreductionsandscalabil

8、ity.Forthispartwewillrunlargescalesimulationsov