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Reseach Article

Grid Scheduling using PSO with Naive Crossover

by Vikas Singh, Deepak Singh, Shyam Swarup
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 26 - Number 11
Year of Publication: 2011
Authors: Vikas Singh, Deepak Singh, Shyam Swarup
10.5120/3169-4384

Vikas Singh, Deepak Singh, Shyam Swarup . Grid Scheduling using PSO with Naive Crossover. International Journal of Computer Applications. 26, 11 ( July 2011), 7-11. DOI=10.5120/3169-4384

@article{ 10.5120/3169-4384,
author = { Vikas Singh, Deepak Singh, Shyam Swarup },
title = { Grid Scheduling using PSO with Naive Crossover },
journal = { International Journal of Computer Applications },
issue_date = { July 2011 },
volume = { 26 },
number = { 11 },
month = { July },
year = { 2011 },
issn = { 0975-8887 },
pages = { 7-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume26/number11/3169-4384/ },
doi = { 10.5120/3169-4384 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:12:29.992367+05:30
%A Vikas Singh
%A Deepak Singh
%A Shyam Swarup
%T Grid Scheduling using PSO with Naive Crossover
%J International Journal of Computer Applications
%@ 0975-8887
%V 26
%N 11
%P 7-11
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Grid computing can be defined as applying the resources of many computers in a network to a problem which requires a great number of computer processing cycles or access to large amounts of data. Thetask scheduling problem is the problem of assigning the tasks in the system in a manner that will optimize the overall performance of the application, while assuring the correctness of the result. In this paper we use the technique of PSO with Naive crossover to solve the taskscheduling problem in grid computing. The aim of using thistechnique is use the given resources optimally and assign the task to the resources efficiently. The simulated results show that PSO with Naive Crossover proves to be a better algorithm when applied to resource allocation anddisk scheduling in grid computing.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Grid scheduling PSO with Naive Crossover Operator Tasks Resources