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Optimal Resource Allocation and Quality of Service Prediction in Cloud

Computers, Materials & Continua 2021年第4期67卷 253-265页

作者： priya baldoss Gnanasekaran Thangavel Information and Communication Engineering Department Anna UniversityChennaiIndia Department of Computer Science and Engineering Sri Sai Ram Engineering CollegeChennaiIndia RMK Engineering College ChennaiIndia

In the present scenario,cloud computing service provides on-request access to a collection of resources available in remote system that can be shared by numerous *** are in self-administration;consequently,clients can adjust their usage according to their *** usage is estimated and clients can pay according to their *** literature,the existing method describes the usage of various hardware *** of Service(QoS)needs to be considered for ascertaining the schedule and the access of *** with the security arrangement,any additional code is forbidden to ensure the usage of resources complying with ***,all monitoring must be done from the *** overcome the issues,Robust Resource Allocation and Utilization(RRAU)approach is developed for optimizing the management of its cloud *** work hosts a numerous virtual assets which could be expected under the circumstances and it enforces a controlled degree of *** asset assignment calculation is heuristic,which is based on experimental evaluations,RRAU approach with J48 prediction model reduces Job Completion Time(JCT)by 4.75 s,Make Span(MS)6.25,and Monetary Cost(MC)4.25 for 15,25,35 and 45 resources are compared to the conventional methodologies in cloud environment.

关键词： Cloud computing resource utilization robust resource allocation and utilization(RRAU)approach job completion time quality of services monetary cost make span

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