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1、Albatross:LightweightElasticityinSharedStorageDatabasesfortheCloudusingLiveDataMigrationSudiptoDas‡ShojiNishimura§∗DivyakantAgrawal‡AmrElAbbadi‡‡§UniversityofCalifornia,SantaBarbaraNECCorporationSantaBarbara,CA931065110,USAKawasaki,Kanagawa2118666,Japan{s
2、udipto,agrawal,amr}@cs.ucsb.edusnishimura@bk.jp.nec.comABSTRACTtenconsolidatedtonodes(orservers)withcapacitylessthanthecombinedpeakresourcerequirementsofthetenantsco-locatedataDatabasesystemsservingcloudplatformsmustservelargenum-node.Suchconsolidationrel
3、iesonthefactthatpeakresourceusagebersofapplications(ortenants).Inadditiontomanagingtenantsisnotfrequentandpeaksfordifferenttenantsareoftentemporallywithsmalldatafootprints,differentschemas,andvariableloadpat-separated.However,todealwithunpredictedloadpatt
4、erns,migrat-terns,suchmultitenantdataplatformsmustminimizetheiroper-ingtenantdatabasesiscriticaltoensurethatthetenants’serviceatingcostsbyefficientresourcesharing.Whendeployedoveralevelagreements(SLA)aremet.Whentheresourcerequirementspay-per-useinfrastruct
5、ure,elasticscalingandloadbalancing,en-ofatenantchanges,migrationallowsallocatingmoreresourcestoabledbylowcostlivemigrationoftenantdatabases,iscriticaltheheavilyloadedtenantwhileisolatingothertenantsfrombeingtotolerateloadvariationswhileminimizingoperating
6、cost.How-impactedbythesuddenincreaseinloadofaco-locatedtenant.ever,existingdatabasesrelationaldatabasesandKey-ValuestoresTobeeffectivelyusedforelasticity,databasemigrationmustbealikelacklowcostlivemigrationtechniques,thusresultinginlightweight,i.e.withmin
7、imalserviceinterruptionandnegligibleheavyperformanceimpactduringelasticscaling.WepresentAl-performanceimpact.ThisfeatureiscalledLiveMigrationinthebatross,atechniqueforlivemigrationinamultitenantdatabasevirtualizationliterature[5].Duetostaticprovisioningin
8、enter-servingOLTPstyleworkloadswherethepersistentdatabaseim-priseinfrastructures,elasticityandlivemigrationwerenotcriticalageisstoredinanetworkattachedstorage.Albatrossmigratesthefortraditionalrelationaldatabase(RDB
