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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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Cost Effective Optimal Task Scheduling Model in Hybrid Cloud Environment

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Computer Systems Science & Engineering 2022年第9期42卷 935-948页

作者： M.Manikandan R.Subramanian M.S.Kavitha S.Karthik Department of Computer Science&Engineering Sri Krishna College of Engineering and TechnologyCoimbatore641008India Department of Electrical and Electronics Engineering SNS College of TechnologyCoimbatore641035India Department of Computer Science&Engineering SNS College of TechnologyCoimbatore641035India

In today’s world, Cloud Computing (CC) enables the users to accesscomputing resources and services over cloud without any need to own the infrastructure. Cloud Computing is a concept in which a network of devices, located inremote locations, is integrated to perform operations like data collection, processing, data profiling and data storage. In this context, resource allocation and taskscheduling are important processes which must be managed based on the requirements of a user. In order to allocate the resources effectively, hybrid cloud isemployed since it is a capable solution to process large-scale consumer applications in a pay-by-use manner. Hence, the model is to be designed as a profit-driven framework to reduce cost and make span. With this motivation, the currentresearch work develops a Cost-Effective Optimal Task Scheduling Model(CEOTS). A novel algorithm called Target-based Cost Derivation (TCD) modelis used in the proposed work for hybrid clouds. Moreover, the algorithm workson the basis of multi-intentional task completion process with optimal resourceallocation. The model was successfully simulated to validate its effectivenessbased on factors such as processing time, make span and efficient utilization ofvirtual machines. The results infer that the proposed model outperformed theexisting works and can be relied in future for real-time applications.

关键词： Cost effectiveness hybrid cloud optimal task scheduling virtual machine resource allocation make span

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