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A Comparative Analysis of Resource Scheduling Techniques in Grid Environment

Published on April 2012 by Ramandeep Singh, Jyoti
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International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
Foundation of Computer Science USA
IRAFIT - Number 4
April 2012
Authors: Ramandeep Singh, Jyoti
636eabb9-7cde-40fb-b4b5-8ea70fc30216

Ramandeep Singh, Jyoti . A Comparative Analysis of Resource Scheduling Techniques in Grid Environment. International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012). IRAFIT, 4 (April 2012), 1-3.

@article{
author = { Ramandeep Singh, Jyoti },
title = { A Comparative Analysis of Resource Scheduling Techniques in Grid Environment },
journal = { International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012) },
issue_date = { April 2012 },
volume = { IRAFIT },
number = { 4 },
month = { April },
year = { 2012 },
issn = 0975-8887,
pages = { 1-3 },
numpages = 3,
url = { /proceedings/irafit/number4/5869-1025/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
%A Ramandeep Singh
%A Jyoti
%T A Comparative Analysis of Resource Scheduling Techniques in Grid Environment
%J International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
%@ 0975-8887
%V IRAFIT
%N 4
%P 1-3
%D 2012
%I International Journal of Computer Applications
Abstract

Grid computing is an emerging technology that involves coordinating and sharing of resources to carry out complex computational problems. Resource Allocation is a very challenging task in Grid Environment. Because there are ample amount of jobs and quick responses to the users are necessary in a real Grid Environment. A lot of techniques have been proposed for managing the allocation of resources. This paper represents comparative study of some of these techniques based on some parameters.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Grid Computing Scheduler Resource Allocation Resource Utilization Rate Load Balancing