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A Framework to Optimize Load Balancing to Improve the Performance of Distributed Systems

by Payal, Atul Garg
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 122 - Number 15
Year of Publication: 2015
Authors: Payal, Atul Garg
10.5120/21777-5050

Payal, Atul Garg . A Framework to Optimize Load Balancing to Improve the Performance of Distributed Systems. International Journal of Computer Applications. 122, 15 ( July 2015), 24-27. DOI=10.5120/21777-5050

@article{ 10.5120/21777-5050,
author = { Payal, Atul Garg },
title = { A Framework to Optimize Load Balancing to Improve the Performance of Distributed Systems },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 122 },
number = { 15 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 24-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume122/number15/21777-5050/ },
doi = { 10.5120/21777-5050 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:10:38.534327+05:30
%A Payal
%A Atul Garg
%T A Framework to Optimize Load Balancing to Improve the Performance of Distributed Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 122
%N 15
%P 24-27
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Load balancing in distributed systems is the technique to handle maximum requests in minimum time. Load balancing aims to optimize resource use, maximum throughput, minimize response time, increase reliability and scalability. Trying to achieve this is however not an easy task. Various techniques and approaches have been used to achieve this goal. The proposed work is inspired by the Ant Colony Optimization (ACO) technique. The algorithm is designed on a Semi-Distributed system where clusters are formed and each cluster consists of number nodes. Ant is created on these clusters and acts accordingly the needs of the environment. The objective of paper is to develop an efficient load balancing technique that can improve the performance of system.

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Index Terms

Computer Science
Information Sciences

Keywords

Load Balancing Semi-Distributed systems ACO.

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