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Survey on Energy Efficient-Load Balancing in Cloud

by Shilpa B. Kodli, Sujata Terdal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 25
Year of Publication: 2022
Authors: Shilpa B. Kodli, Sujata Terdal
10.5120/ijca2022922301

Shilpa B. Kodli, Sujata Terdal . Survey on Energy Efficient-Load Balancing in Cloud. International Journal of Computer Applications. 184, 25 ( Aug 2022), 15-24. DOI=10.5120/ijca2022922301

@article{ 10.5120/ijca2022922301,
author = { Shilpa B. Kodli, Sujata Terdal },
title = { Survey on Energy Efficient-Load Balancing in Cloud },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2022 },
volume = { 184 },
number = { 25 },
month = { Aug },
year = { 2022 },
issn = { 0975-8887 },
pages = { 15-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number25/32467-2022922301/ },
doi = { 10.5120/ijca2022922301 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:22:21.796103+05:30
%A Shilpa B. Kodli
%A Sujata Terdal
%T Survey on Energy Efficient-Load Balancing in Cloud
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 25
%P 15-24
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing is a popular technology which delivers virtualized computer resources via the internet. Numerous load balancing considerations substantially determine the performance of the cloud. Load balancing (LB) distributes a dynamic workload among cloud systems & evenly shares resources such that no database server is overloaded or underloaded. Consequently, an active load balancing strategy in the cloud may improve dependability, services, and resource usage.Load balancing task scheduling is a significant issue in cloud systems that directly impacts resource usage. Load balancing scheduling is important for its significant influence on the cloud research industry's back and front end. If an appropriate load balancing is accomplished in the cloud, useful resource utilization is obtained. Therefore, this survey aims to review the recent research papers on existing techniques based on cloud VM migration & load balancing. The literature study examines the various techniques for VM migration & load balancing approaches in the cloud. It analyzes various research articles and provides a detailed analysis. The analytical examination also considers the maximum performance attainments in various contributions. Furthermore, the chronological review and the tools used in the analyzed works are also examined. Furthermore, the survey includes a variety of research problems and gaps that might help researchers to enhance the future study on VM migration & load balancing approaches in cloud technology.

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Index Terms

Computer Science
Information Sciences

Keywords

VM Migration Load Balancing Cloud Maximum Performance Achievements Research Gaps

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