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Load Balancing Strategy for Computational Grid System using an Improved Algorithmic Approach

by Prakash Kumar, Pradeep Kumar, Vikas Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 79 - Number 8
Year of Publication: 2013
Authors: Prakash Kumar, Pradeep Kumar, Vikas Kumar
10.5120/13765-1614

Prakash Kumar, Pradeep Kumar, Vikas Kumar . Load Balancing Strategy for Computational Grid System using an Improved Algorithmic Approach. International Journal of Computer Applications. 79, 8 ( October 2013), 46-50. DOI=10.5120/13765-1614

@article{ 10.5120/13765-1614,
author = { Prakash Kumar, Pradeep Kumar, Vikas Kumar },
title = { Load Balancing Strategy for Computational Grid System using an Improved Algorithmic Approach },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 79 },
number = { 8 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 46-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume79/number8/13765-1614/ },
doi = { 10.5120/13765-1614 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:52:31.603906+05:30
%A Prakash Kumar
%A Pradeep Kumar
%A Vikas Kumar
%T Load Balancing Strategy for Computational Grid System using an Improved Algorithmic Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 79
%N 8
%P 46-50
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Grid system is interconnected computer systems where the machines utilize the same resources collectively. Grid computing usually consists of a main computer that distributes information and tasks to a group of networked computers to accomplish a common goal. The goal of Grid computing is to create the delusion of a simple but large and authoritative self-managing virtual computer out of a large collection of connected heterogeneous systems sharing various combinations of resources. A load balancing strategy chooses the resources that should be used to run a job in order to improve a given performance measure. Backfill is a scheduling optimization technique which allows a scheduler to make better use of available resources by running jobs out of order. Enabling backfill will increase system utilization and improve turnaround time by an even greater amount. Objective of the grid environment is to achieve high performance computing by optimal usage of geographically distributed and heterogeneous resources.

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Index Terms

Computer Science
Information Sciences

Keywords

Grid Load balancing Scheduling Cluster Random search Backfilling algorithm Gap search.