2024年3月17日發(作者:負摩阻力計算)

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.
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