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            CloudCmpComparingPublicCloudProviders

            更新時間:2024-03-17 14:57:02 閱讀: 評論:0

            2024年3月17日發(作者:負摩阻力計算)

            CloudCmpComparingPublicCloudProviders

            CloudCmp:ComparingPublicCloudProviders

            ,,a,

            KatrinaLaCurts,MIT(6.897Spring2011)

            Choosingapubliccloudproviderisadi?customermeanttocomparepublic

            cloudproviderswheneacho?ersamyriadofrvices,instacetypes,andpricingschemes?Evenifa

            customercouldmakeasystematiccomparison,wouldtheybeabletodiscernwhichcloudprovider

            wasbest—intermsofcost-e?ectivenessorotherwi—foraparticularapplication?

            CloudCmp,publishedatIMC2010,providesasystematicframeworkforcomparingcloudproviders.

            heirmethodsandcompareAmazonAWS,RackspaceCloudServers,GoogleApp-

            Engine,andMicrosoftAzure

            1

            .Ratherthancomparethedi?,whichpro-

            gramminglanguagesareo?eredbyeachprovider,thetypeoftechsupportavailable),CloudCmp

            measurestheperformanceofthecorervicesthatarecommontothefourproviders:theelas-

            ticcomputecluster,persistentstorage(tablestorage,whicho?erskey/valuefunctionality;blob

            storage,whichallowsurstostoreunstructureddata;andqueuestorage,whichisdesignedto

            storemessagesthatarelaterpasdbetweencloudisntances),andnetworking(bothintra-cloud

            andWAN).Theirmain?ndingisthatnoonecloudisbest;di?erentcloudsaresuitedfordi?erent

            eci?cally,they?ndthefollowing:

            ?Badon?nishingtimesforwell-knownJavabenchmarks(SPECjvm2008),di?erentproviders

            o?erdi?erentlevelsofcost-e?mple,alow-endinstanceofMicrosoftAzure

            is30%moreexpensivethanthecomparableAmazonAWSinstance,butableto?nishtasks

            er,higher-endinstanceswithinoneclouddonotnecessarilyo?er

            ult,parallelapplicationsmightdowellto

            umorelow-endinstancesratherthanafewhigh-endones.

            ?Theperformanceofdi?erentstoragetypes(table,blob,andqueue)

            example,AWS’srespontimefortablequeriesisordersofmagnitudefasterthananyother

            provider,butittakeslongerfortheirtablestoreachconsistency(around100msonaverage,

            butsometimesashighas500ms;otherprovidernosuchinconsistencies).Blobstorage

            andqueuestorageesimilarvariability.

            ?Thewide-areanetworklatencyroughlycorrespondstogeographiclocation,suggestingthat

            themoregeographicallydiveracloudprovideris,hput,bothintra-

            cloudandwide-area,isrelativelyconsistentacrossallproviders,exceptforRackspace,which

            emstohavearatherunder-provisionednetworkinthemeasurements;itsintra-datacenter

            TCPthroughputisbetween600and700Mbpslowerthanallotherproviders,anditsWAN

            throughputisbetween100and200Mbpslowerthanallotherproviders.

            Giventheresults,it’sstilldi?culttopicka“winning”iderisbest

            overall,andit’r,theauthors

            applytheresultsoftheirstudytospeci?mple,ane-commercewebsitedeals

            withmanytableoperations,

            ontheresultsfromCloudCmp,e-commercesitesshoulduAWS;ithasthebestperformanceon

            tablestorage(thepaperveri?esthisconclusionbyrunningatofe-commerce-speci?cbenchmarks

            oneachcloud).Thepapergivessimilarexamplesforparallelscienti?ccomputingapplicationsand

            TheauthorslisttheirresultsintermsofcloudsC

            1

            ,C

            2

            ,C

            3

            ,andC

            4

            .Wegiveourowninferencesastowhich

            providereachC

            i

            correspondsto.

            1

            1

            CloudCmp:ComparingPublicCloudProviders

            ,,a,

            KatrinaLaCurts,MIT(6.897Spring2011)

            i?ccomputingapplicationsareCPU-intensive,andthusshouldu

            alow-endinstanceofMicrosoftAzure;Latency-nsitivewebsitesshoulduGoogleAppEngine,

            whichhasthelowestwide-areanetworklatencydistribution.

            Overall,CloudCmpisagood?turesit

            measuresarelikelytobecommonamongstallcloudproviders,notjustthefourstudiedinthis

            paper,andthecomparisontoreal-worldapplicationsishelpfulingivingmoreinsightintotheir

            r,thepaperlacksthe“stresstest”,

            MapReduce)’salsonotclearhowfarinthefuturethemeasurementswillhold,or

            whetheraverageconsumerswould?ndthisperformancecomparisonasufulasasimplefeature

            comparisonbetweencloudproviders.

            2

            CloudCmpComparingPublicCloudProviders

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