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Performance Evaluation of Grid using Random Scheduling

by Saravana Kumar E, A. Sumathi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 55 - Number 9
Year of Publication: 2012
Authors: Saravana Kumar E, A. Sumathi
10.5120/8780-2746

Saravana Kumar E, A. Sumathi . Performance Evaluation of Grid using Random Scheduling. International Journal of Computer Applications. 55, 9 ( October 2012), 1-4. DOI=10.5120/8780-2746

@article{ 10.5120/8780-2746,
author = { Saravana Kumar E, A. Sumathi },
title = { Performance Evaluation of Grid using Random Scheduling },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 55 },
number = { 9 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume55/number9/8780-2746/ },
doi = { 10.5120/8780-2746 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:56:47.139082+05:30
%A Saravana Kumar E
%A A. Sumathi
%T Performance Evaluation of Grid using Random Scheduling
%J International Journal of Computer Applications
%@ 0975-8887
%V 55
%N 9
%P 1-4
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The idea behind Grid is seamless, transparent supply of computing and data resources over the Internet when required to end users. The resource management system is the central component of a Grid system. Its basic responsibilities include accepting requests from users, matching user requests to available resources for which the user has permission to use and scheduling the matched resources. Various scheduling algorithms have been proposed in the literature. In this paper, it is proposed to evaluate the performance of one of the popular grid scheduling algorithms – Random scheduling for various scenarios.

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Index Terms

Computer Science
Information Sciences

Keywords

Grid computing Scheduling algorithms Random Scheduling Performance Evaluation

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