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Reseach Article

Response Time Reduction and Performance Analysis of Load Balancing Algorithms at Peak Hours in Cloud Computing

by Monika Kushwaha, Saurabh Gupta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 128 - Number 17
Year of Publication: 2015
Authors: Monika Kushwaha, Saurabh Gupta
10.5120/ijca2015906762

Monika Kushwaha, Saurabh Gupta . Response Time Reduction and Performance Analysis of Load Balancing Algorithms at Peak Hours in Cloud Computing. International Journal of Computer Applications. 128, 17 ( October 2015), 26-31. DOI=10.5120/ijca2015906762

@article{ 10.5120/ijca2015906762,
author = { Monika Kushwaha, Saurabh Gupta },
title = { Response Time Reduction and Performance Analysis of Load Balancing Algorithms at Peak Hours in Cloud Computing },
journal = { International Journal of Computer Applications },
issue_date = { October 2015 },
volume = { 128 },
number = { 17 },
month = { October },
year = { 2015 },
issn = { 0975-8887 },
pages = { 26-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume128/number17/22967-2015906762/ },
doi = { 10.5120/ijca2015906762 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:21:58.844144+05:30
%A Monika Kushwaha
%A Saurabh Gupta
%T Response Time Reduction and Performance Analysis of Load Balancing Algorithms at Peak Hours in Cloud Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 128
%N 17
%P 26-31
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

We are living in Digital Age which is undoubtedly the outcome of highly developed internet and its corresponding technologies. Cloud computing has become prominent as more people, organizations, entrepreneur, are moving towards it as it facilitates them to achieve their dreams in less investment. Now people from all over the globe are demanding for various services in rapid rate which has lead to bursty workloads on data centers thereby creating peak hour optimization problem to be handled. It has also lead to problem of load balancing which should be addressed to increase the efficiency of data centers. In the present work, peak hour optimization is being aimed and algorithms are being analyzed for large scale application to find efficient algorithm for real time scenario. Further, a novel strategy is being proposed to decrease the response time and DC processing time of algorithms without increasing the overall cost.

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Index Terms

Computer Science
Information Sciences

Keywords

Load Balancing Cloud computing Round Robin Throttled Equally Spread Current Execution