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A Comparative Analysis for Energy Efficiency in Cloud Computing using CSO

by Sabyasachi Narendrasingh, Ashis Kumar Mishra, Subasish Mohapatra
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 13
Year of Publication: 2023
Authors: Sabyasachi Narendrasingh, Ashis Kumar Mishra, Subasish Mohapatra
10.5120/ijca2023922811

Sabyasachi Narendrasingh, Ashis Kumar Mishra, Subasish Mohapatra . A Comparative Analysis for Energy Efficiency in Cloud Computing using CSO. International Journal of Computer Applications. 185, 13 ( Jun 2023), 30-37. DOI=10.5120/ijca2023922811

@article{ 10.5120/ijca2023922811,
author = { Sabyasachi Narendrasingh, Ashis Kumar Mishra, Subasish Mohapatra },
title = { A Comparative Analysis for Energy Efficiency in Cloud Computing using CSO },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2023 },
volume = { 185 },
number = { 13 },
month = { Jun },
year = { 2023 },
issn = { 0975-8887 },
pages = { 30-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number13/32758-2023922811/ },
doi = { 10.5120/ijca2023922811 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:25:59.495850+05:30
%A Sabyasachi Narendrasingh
%A Ashis Kumar Mishra
%A Subasish Mohapatra
%T A Comparative Analysis for Energy Efficiency in Cloud Computing using CSO
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 13
%P 30-37
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Now a day, many organizations and independent consumers are heavily utilizing cloud services for their scalability, reliability, and low expenses. Developing management techniques used to minimize energy consumption, boost profitability, and decrease environmental impact is a key aspect of cloud data centers. Every consumer's usage of service can generate a huge amount of data. Therefore, it will be very expensive to transfer data between two dependent resources. This paper suggests a meta heuristic-based optimization process called the Cat swarm optimization algorithm to improve the performance and energy efficiency in cloud resource allocation. Also, its performance is compared with gray wolf optimization and Whale Optimization Algorithms with a variation in of population sizes and iterations. Also, energy efficiency and throughput are calculated.

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Index Terms

Computer Science
Information Sciences

Keywords

Datacenters CSO GWO WOA Cloud Computing Energy Efficiency Throughput.

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