{"title":"A Hybrid Multiple Parallel Queuing Model to Enhance QoS in Cloud Computing","authors":"Shahbaz Afzal, G. Kavitha","doi":"10.4018/ijghpc.2020010102","DOIUrl":null,"url":null,"abstract":"AmongthedifferentQoSmetricsandparametersconsideredincloudcomputingarethewaitingtime ofcloudtasks,executiontimeoftasksinVM’s,andtheutilizationrateofservers.Theproposed modelwasdeveloped toovercomesomeof thepitfalls in theexistingsystemsamongwhichare sub-optimalmarkdowninthequeuelength,waitingtime,responsetime,andserverutilizationrate. TheproposedmodelcontemplatesontheenhancementofthesemetricsusingaHybridMultiple ParallelQueuingapproachwithajointimplementationofM/M/1:∞andM/M/s:N/FCFStoachieve thedesiredobjectives.Aneotericsetofmathematicalequationshavebeenformulatedtovalidate theefficiencyandperformanceofthehybridqueuingmodel.Theresultshavebeenvalidatedwith referencetotheworkloadtracesofBitBrainsinfrastructureprovider.Theresultsobtainedindicate thesignificantreductioninthequeuelengthby60.93percent,waitingtimeinthequeueby73.85 percent,andtotalresponsetimeby97.51%. KEywoRdS Cloud Computing, CSC, CSP, Hybrid Multiple Parallel Queuing Model, Internet-as-aService, QoS, QoS Metrics, Queuing Theory","PeriodicalId":43565,"journal":{"name":"International Journal of Grid and High Performance Computing","volume":"1 1","pages":"18-34"},"PeriodicalIF":0.6000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Grid and High Performance Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijghpc.2020010102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 9
一种提高云计算服务质量的混合多并行排队模型
AmongthedifferentQoSmetricsandparametersconsideredincloudcomputingarethewaitingtime ofcloudtasks,executiontimeoftasksinVM 's,andtheutilizationrateofservers。Theproposed modelwasdeveloped toovercomesomeof thepitfalls in_ theexistingsystemsamongwhichare sub-optimalmarkdowninthequeuelength,waitingtime,responsetime,andserverutilizationrate。> TheproposedmodelcontemplatesontheenhancementofthesemetricsusingaHybridMultiple ParallelQueuingapproachwithajointimplementationofM/M/1: >∞andM/M/s:N/FCFStoachieve thedesiredobjectives。Aneotericsetofmathematicalequationshavebeenformulatedtovalidate theefficiencyandperformanceofthehybridqueuingmodel。Theresultshavebeenvalidatedwith referencetotheworkloadtracesofBitBrainsinfrastructureprovider。Theresultsobtainedindicate thesignificantreductioninthequeuelengthby60.93percent,waitingtimeinthequeueby73.85 %,andtotalresponsetimeby97.51%。关键词云计算,CSC, CSP,混合多并行排队模型,互联网即服务,QoS, QoS度量,排队论
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