MARCR: Method of allocating resources based on cost of the resources in a heterogeneous cloud environment

Published

06-06-2023

DOI:

https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.3.03

Keywords:

Cloud Computing; Resource allocation; Cost-based Allocation; Heterogeneous Cloud;

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Issue

Section

Research article

Authors

  • Sheena Edavalath Research Scholar, PG and Research Department of Computer Science, Adaikalamatha College, Vallam, Thanjavur. Affiliated to Bharathidasan University, Trichy
  • Manikandasaran S. Sundaram Asst. Prof and Asso. Director, PG and Research Department of Computer Science, Adaikalamatha College, Vallam, Thanjavur. Affiliated to Bharathidasan University, Trichy

Abstract

The cloud is an intelligent technology that provides requested services to users. It offers unlimited services for the users. Many small and medium-scale industries are startup their businesses to the next level using cloud computing. The services have been provided to the users by allocating the requested resources. Allocating resources without waste and with the finest allocation is a critical task in the cloud. This paper proposes a method for allocating resources using the cost of the resource. Resource allocation follows a priority system when allocating resources. The proposed method gives priority to low-cost resources. The cost denotes the service cost of the resource. The requested resource is assigned to the user by the CSP, who provides the specific resource at a low cost. This proposed method suggests a UHRAM for collecting and allocating the resources from the different CSPs. UHRAM is a centralized hub for delivering requested resources to users, and it maintains a repository of details about the resources from all CSPs in the heterogeneous cloud. The proposed method is implemented with the user’s data. The results from the comparison show that the proposed cost-based resource allocation method is more efficient than existing methods.

How to Cite

Edavalath, S., & Sundaram, M. S. (2023). MARCR: Method of allocating resources based on cost of the resources in a heterogeneous cloud environment. The Scientific Temper, 14(03), 576–581. https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.3.03

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