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Comparative Study of Load Balancing Algorithms in Cloud Environment using Cloud Analyst

by Veerawali Behal, Anil Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 1
Year of Publication: 2014
Authors: Veerawali Behal, Anil Kumar
10.5120/16974-6974

Veerawali Behal, Anil Kumar . Comparative Study of Load Balancing Algorithms in Cloud Environment using Cloud Analyst. International Journal of Computer Applications. 97, 1 ( July 2014), 36-40. DOI=10.5120/16974-6974

@article{ 10.5120/16974-6974,
author = { Veerawali Behal, Anil Kumar },
title = { Comparative Study of Load Balancing Algorithms in Cloud Environment using Cloud Analyst },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 1 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 36-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number1/16974-6974/ },
doi = { 10.5120/16974-6974 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:23:01.008847+05:30
%A Veerawali Behal
%A Anil Kumar
%T Comparative Study of Load Balancing Algorithms in Cloud Environment using Cloud Analyst
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 1
%P 36-40
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This is age of internet. There is hardly any domain where internet do not play significant role. Cloud Computing relates to internet computing that has revolutionized the whole world. Cloud Computing has undeniably benefited the users in many ways. Load Balancing is emerging as the hottest issue in cloud environment at present. Load due to client requests must be balanced by resources of service provider. In this study we proposed a theoretical framework which is combination of load balancing policy and service broker policy for cloud environment. This paper includes the comparison of the results of proposed algorithm with existing algorithm .This study accomplish that there is extreme reduction in response time at client part and reduction in datacenter request servicing time and resources of resource providers are managed efficiently and effectively by using the proposed algorithm. Several parameters are also identified and these are utilized to compare the traditional round robin load balancing policy with proposed load balancing strategy by using cloud analyst tool as simulator.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Cloud Analyst Service Broker Load balancing

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