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Reseach Article

Review on Load Balancing Model In Cloud Computing

Published on December 2014 by Varsha S. Salunkhe
Innovations and Trends in Computer and Communication Engineering
Foundation of Computer Science USA
ITCCE - Number 3
December 2014
Authors: Varsha S. Salunkhe
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Varsha S. Salunkhe . Review on Load Balancing Model In Cloud Computing. Innovations and Trends in Computer and Communication Engineering. ITCCE, 3 (December 2014), 10-12.

@article{
author = { Varsha S. Salunkhe },
title = { Review on Load Balancing Model In Cloud Computing },
journal = { Innovations and Trends in Computer and Communication Engineering },
issue_date = { December 2014 },
volume = { ITCCE },
number = { 3 },
month = { December },
year = { 2014 },
issn = 0975-8887,
pages = { 10-12 },
numpages = 3,
url = { /proceedings/itcce/number3/19054-2020/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Innovations and Trends in Computer and Communication Engineering
%A Varsha S. Salunkhe
%T Review on Load Balancing Model In Cloud Computing
%J Innovations and Trends in Computer and Communication Engineering
%@ 0975-8887
%V ITCCE
%N 3
%P 10-12
%D 2014
%I International Journal of Computer Applications
Abstract

In the cloud computing environment, load balancing plays a vital role in improving performance of the systems. It is beneficial to use load balancing in cloud computing. Server overloading occurs due to tremendous use of internet in day to-days world. This article studies on surveys on load balancing that describes different algorithms for balancing the workload for the cloud using optimal resources for better efficiency and performance. Good load balancing techniques are required for the better management of available resources. This article discusses about the various load balancing algorithms and strategies used in a cloud computing environment.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Load Balancing Public Cloud Cloud Partition