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Evolutionary Heuristic for Job Scheduling using Grid Computing

by Japinder Kaur, Mehak Naib
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 15
Year of Publication: 2015
Authors: Japinder Kaur, Mehak Naib
10.5120/21304-4072

Japinder Kaur, Mehak Naib . Evolutionary Heuristic for Job Scheduling using Grid Computing. International Journal of Computer Applications. 120, 15 ( June 2015), 22-24. DOI=10.5120/21304-4072

@article{ 10.5120/21304-4072,
author = { Japinder Kaur, Mehak Naib },
title = { Evolutionary Heuristic for Job Scheduling using Grid Computing },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 15 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 22-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number15/21304-4072/ },
doi = { 10.5120/21304-4072 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:06:18.855150+05:30
%A Japinder Kaur
%A Mehak Naib
%T Evolutionary Heuristic for Job Scheduling using Grid Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 15
%P 22-24
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Grid is a compilation of huge number of assorted, disseminated, decentralized and energetic resources. Grid computing is a kind of disseminated computing that coordinate and provide the facility of resource sharing on dissimilar environmental location. Resource scheduling in Grid computing is a difficult task due to the heterogeneous and dynamic nature of the resources. This paper includes the comparison of different heuristic approach in grid computing. The presentation of the planned algorithms is evaluated using the GridSim toolkit. The paper reveal the difficulty of the scheduling trouble in Computational Grids when compare to scheduling in standard parallel and distributed systems and show the effectiveness of heuristic and meta-heuristic approaches for the design of efficient Grid scheduler

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Index Terms

Computer Science
Information Sciences

Keywords

Resource scheduling Grid computing Heuristic approach Hyper Heuristic approach GridSim toolkit.

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