Please use this identifier to cite or link to this item:
http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/9956| Title: | ACTS:AutonomousCost-EfficientTask OrchestrationforServerlessAnalytics |
| Authors: | Jananie, Jarachanthan Li, Chen Fei, Xu |
| Keywords: | Serverless computing,;Cost-efficiency,;Data analytics,;Cloud resource provisioning |
| Issue Date: | 2023 |
| Publisher: | IEEE |
| 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. |
| URI: | http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/9956 |
| ISSN: | 979-8-3503-9973-8 |
| Appears in Collections: | Computer Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ACTS_2023.pdf | 615.18 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.