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Survey on Job Scheduling Algorithms in Grid Computing

by Seema Kumari, Gulshan Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 15
Year of Publication: 2015
Authors: Seema Kumari, Gulshan Kumar

Seema Kumari, Gulshan Kumar . Survey on Job Scheduling Algorithms in Grid Computing. International Journal of Computer Applications. 115, 15 ( April 2015), 17-20. DOI=10.5120/20227-2511

@article{ 10.5120/20227-2511,
author = { Seema Kumari, Gulshan Kumar },
title = { Survey on Job Scheduling Algorithms in Grid Computing },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 15 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 17-20 },
numpages = {9},
url = { },
doi = { 10.5120/20227-2511 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:54:54.611926+05:30
%A Seema Kumari
%A Gulshan Kumar
%T Survey on Job Scheduling Algorithms in Grid Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 15
%P 17-20
%D 2015
%I Foundation of Computer Science (FCS), NY, USA

Grid computing is a type of distributed computing that distributes the tasks to a group of network computers where computer are linked together to provide a better computational resource. Scheduling plays a vital role in gaining high consumption of resources in the field of grid computing and achieving utilization of resources in grid environments. The use of the scheduling is to increase the throughput, efficiency and decrease the average waiting time. In this paper we have been surveyed various job scheduling algorithm in grid computing that will benefit for the researchers to carry out the future work in that area and develop a better algorithm. It is found that the resource allocation and job scheduling plays a vital role to improve performance and can proficiently and efficiently allocate workloads to proper resources.

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Index Terms

Computer Science
Information Sciences


Grid Computing Job Scheduling Virtualization Resource Scheduling.