Astra: Autonomous Server less Analytics with Cost-Efficiency and QoS-Awareness

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dc.contributor.authorJananie, J.
dc.contributor.authorLi Chen
dc.contributor.authorFei Xu
dc.contributor.authorBoLi
dc.date.accessioned2023-12-29T08:01:16Z
dc.date.available2023-12-29T08:01:16Z
dc.date.issued2021
dc.description.abstractWiththeabilitytosimplifythecodedeployment withone-clickuploadandlightweightexecution,serverlesscomputinghasemergedasapromisingparadigmwithincreasing popularity.However,thereremainopenchallengeswhenadapting data-intensiveanalyticsapplicationstotheserverlesscontext,in whichusersofserverlessanalyticsencounterwiththedifficultyin coordinatingcomputationacrossdifferentstagesandprovisioningresourcesinalargeconfigurationspace.Thispaperpresents ourdesignandimplementationofAstra,whichconfiguresand orchestratesserverlessanalyticsjobsinanautonomousmanner, whiletakingintoaccountflexibly-specifieduserrequirements. Astrareliesonthemodelingofperformanceandcostwhich characterizestheintricateinterplayamongmulti-dimensional factors(e.g.,functionmemorysize,degreeofparallelismat eachstage).Weformulateanoptimizationproblembasedon user-specificrequirementstowardsperformanceenhancementor costreduction,anddevelopasetofalgorithmsbasedongraph theorytoobtainoptimaljobexecution.WedeployAstrainthe AWSLambdaplatformandconductreal-worldexperimentsover threerepresentativebenchmarkswithdifferentscales.Results demonstratethatAstracanachievetheoptimalexecutiondecision forserverlessanalytics,byimprovingtheperformanceof21% to60%underagivenbudgetconstraint,andresultingina costreductionof20%to80%withoutviolatingperformance requirement,whencomparedwiththreebaselineconfiguration algorithms.en_US
dc.identifier.urihttp://repo.lib.jfn.ac.lk/ujrr/handle/123456789/10022
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectCloudcomputingen_US
dc.subjectServerless computingen_US
dc.subjectResource provisioningen_US
dc.subjectModelingen_US
dc.subjectOptimizationen_US
dc.titleAstra: Autonomous Server less Analytics with Cost-Efficiency and QoS-Awarenessen_US
dc.typeArticleen_US

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