ACTS:AutonomousCost-EfficientTask OrchestrationforServerlessAnalytics
| dc.contributor.author | Jananie, J. | |
| dc.contributor.author | Li, Chen | |
| dc.contributor.author | Fei Xu | |
| dc.date.accessioned | 2023-12-19T04:19:43Z | |
| dc.date.available | 2023-12-19T04:19:43Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | —Serverlesscomputinghasbecomeincreasinglypopularforcloudapplications,duetoitscompellingpropertiesof high-levelabstractions,lightweightruntime,highelasticityand pay-per-usebilling.Inthisrevolutionarycomputingparadigm shift,challengesarisewhenadaptingdataanalyticsapplications totheserverlessenvironment,duetothelackofsupport forefficientstatesharing,whichattractever-growingresearch attention.Inthispaper,weaimtoexploittheadvantagesoftasklevelorchestrationandfine-grainedresourceprovisioningfor dataanalyticsonserverlessplatforms,withthehopeoffulfilling thepromiseofserverlessdeploymenttothemaximumextent. Tothisend,wepresentACTS,anautonomouscost-efficient taskorchestrationframeworkforserverlessanalytics.ACTS judiciouslyschedulesandcoordinatesfunctiontaskstomitigate cold-startlatencyandstatesharingoverhead.Inaddition,ACTS explorestheoptimizationspaceoffine-grainedworkloaddistributionandfunctionresourceconfigurationforcostefficiency. WehavedeployedandimplementedACTSonAWSLambda, evaluatedwithvariousdataanalyticsworkloads.Resultsfrom extensiveexperimentsdemonstratethatACTSachievesupto 98%monetarycostreductionwhilemaintainingsuperiorjob completiontimeperformance,incomparisonwiththestate-ofthe-artbaselines. | en_US |
| dc.identifier.issn | 979-8-3503-9973-8 | |
| dc.identifier.uri | http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/9956 | |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.subject | Serverless computing, | en_US |
| dc.subject | Cost-efficiency, | en_US |
| dc.subject | Data analytics, | en_US |
| dc.subject | Cloud resource provisioning | en_US |
| dc.title | ACTS:AutonomousCost-EfficientTask OrchestrationforServerlessAnalytics | en_US |
| dc.type | Article | en_US |