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Job Scheduling Algorithms in Cloud Computing: A Survey

by Himanshu Goel, Narendra Chamoli
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 95 - Number 23
Year of Publication: 2014
Authors: Himanshu Goel, Narendra Chamoli
10.5120/16735-6981

Himanshu Goel, Narendra Chamoli . Job Scheduling Algorithms in Cloud Computing: A Survey. International Journal of Computer Applications. 95, 23 ( June 2014), 19-22. DOI=10.5120/16735-6981

@article{ 10.5120/16735-6981,
author = { Himanshu Goel, Narendra Chamoli },
title = { Job Scheduling Algorithms in Cloud Computing: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 95 },
number = { 23 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 19-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume95/number23/16735-6981/ },
doi = { 10.5120/16735-6981 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:20:13.444869+05:30
%A Himanshu Goel
%A Narendra Chamoli
%T Job Scheduling Algorithms in Cloud Computing: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 95
%N 23
%P 19-22
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud Computing is the new IT Paradigm that makes the delivery of computing resources (Hardware and Software), applications and data as a service over the internet to its users. Cloud computing mainly intended to provide reliable, dynamic and virtualized services in terms of resources for doing computation, storage and knowledge sharing. An essential requirement in cloud computing is scheduling of current jobs to be executed within some given metrics or constraints. In Cloud computing, execution of jobs requires various resources which are available to them by fulfilling certain constraints like best performance, minimum execution time, shortest response time, fault-tolerance and quality of expected services. The scheduler should order the jobs in a way where the balance between improving the quality of services and at the same time maintaining the efficiency and fairness among the jobs. Thus, in large-scale distributed systems, the performance evaluation of the algorithm is important. In this paper, our major goal is to study systematic review of various job scheduling algorithms.

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Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Job Scheduling Scheduling Algorithms

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