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Reseach Article

A Load Balancing Model based for Cloud Computing using Public Cloud

Published on June 2015 by Pooja Khairnar, Shiva Aher, Samadhan Diwane
National Conference on Recent Trends in Computer Science and Engineering
Foundation of Computer Science USA
MEDHA2015 - Number 4
June 2015
Authors: Pooja Khairnar, Shiva Aher, Samadhan Diwane
164103de-564d-488a-9fae-139a376e5e0e

Pooja Khairnar, Shiva Aher, Samadhan Diwane . A Load Balancing Model based for Cloud Computing using Public Cloud. National Conference on Recent Trends in Computer Science and Engineering. MEDHA2015, 4 (June 2015), 24-26.

@article{
author = { Pooja Khairnar, Shiva Aher, Samadhan Diwane },
title = { A Load Balancing Model based for Cloud Computing using Public Cloud },
journal = { National Conference on Recent Trends in Computer Science and Engineering },
issue_date = { June 2015 },
volume = { MEDHA2015 },
number = { 4 },
month = { June },
year = { 2015 },
issn = 0975-8887,
pages = { 24-26 },
numpages = 3,
url = { /proceedings/medha2015/number4/21451-8063/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Computer Science and Engineering
%A Pooja Khairnar
%A Shiva Aher
%A Samadhan Diwane
%T A Load Balancing Model based for Cloud Computing using Public Cloud
%J National Conference on Recent Trends in Computer Science and Engineering
%@ 0975-8887
%V MEDHA2015
%N 4
%P 24-26
%D 2015
%I International Journal of Computer Applications
Abstract

It is difficult to maintain all the resources and services on single system. So by using Load balancing strategy we distribute load on single system to multiple system providing efficient response to user, resulting in improve user satisfaction. Load balancing in the cloud computing has an important impact on the performance. To improve user satisfaction there is a need of efficient cloud computing for that we need a good load balancing algorithm. This article shows a much better load balance model for the public cloud based on the cloud partitioning concept with a switch mechanism to choose different strategies for different situations. To improve the efficiency in the public cloud this algorithm applies game theory.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Public Cloud Load Balancing Model Cloud Partition