Shahbaz Afzal, G. Kavitha
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引用次数: 9
A Hybrid Multiple Parallel Queuing Model to Enhance QoS in Cloud Computing
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