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Load Balancing Approaches in Grid Computing Environment

by Neeraj Pandey, Shashi Kant Verma, Vivek Kumar Tamta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 72 - Number 12
Year of Publication: 2013
Authors: Neeraj Pandey, Shashi Kant Verma, Vivek Kumar Tamta
10.5120/12549-9185

Neeraj Pandey, Shashi Kant Verma, Vivek Kumar Tamta . Load Balancing Approaches in Grid Computing Environment. International Journal of Computer Applications. 72, 12 ( June 2013), 42-49. DOI=10.5120/12549-9185

@article{ 10.5120/12549-9185,
author = { Neeraj Pandey, Shashi Kant Verma, Vivek Kumar Tamta },
title = { Load Balancing Approaches in Grid Computing Environment },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 72 },
number = { 12 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 42-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume72/number12/12549-9185/ },
doi = { 10.5120/12549-9185 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:38:48.916692+05:30
%A Neeraj Pandey
%A Shashi Kant Verma
%A Vivek Kumar Tamta
%T Load Balancing Approaches in Grid Computing Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 72
%N 12
%P 42-49
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Grid computing is a kind of distributed computing that involve the integrated and collaborative use of distributed resources. It involves huge amounts of computational task which require reliable resource sharing across computing domains. Load balancing in grid is a technique which distributes the workloads across multiple computing nodes to get optimal resource utilization, minimum time delay, maximize throughput and avoid overload. It is a challenging problem that has been studied extensively is the past several years. This paper attempts to provide a comprehensive overview of load balancing in grid computing environment and also analyses the job distribution and system behavior. Furthermore, this survey various load balancing algorithms for the grid computing environment, identify several comparison metrics for the load balancing algorithms and carry out the comparison based on these identified metrics between them. it also reviews the latest research activities in the area of grid computing, including characteristics, capabilities, architecture, applications, design constraints, scheduling and load balancing and presents a set of challenges and problems.

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Index Terms

Computer Science
Information Sciences

Keywords

Survey Grid Computing Load Balancing Scheduling Job distribution Performance evaluation

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