Please use this identifier to cite or link to this item:
http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/9956Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jananie, Jarachanthan | - |
| 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.identifier.issn | 979-8-3503-9973-8 | - |
| dc.identifier.uri | http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/9956 | - |
| 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.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 |
| 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.