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Memoir: A History based Prediction for Job Scheduling in Grid Computing

by Swarna M, P. S. Sitharama Raju, Nagesh Vadaparthi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 10
Year of Publication: 2012
Authors: Swarna M, P. S. Sitharama Raju, Nagesh Vadaparthi
10.5120/6942-7802

Swarna M, P. S. Sitharama Raju, Nagesh Vadaparthi . Memoir: A History based Prediction for Job Scheduling in Grid Computing. International Journal of Computer Applications. 46, 10 ( May 2012), 1-13. DOI=10.5120/6942-7802

@article{ 10.5120/6942-7802,
author = { Swarna M, P. S. Sitharama Raju, Nagesh Vadaparthi },
title = { Memoir: A History based Prediction for Job Scheduling in Grid Computing },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 10 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number10/6942-7802/ },
doi = { 10.5120/6942-7802 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:39:21.887726+05:30
%A Swarna M
%A P. S. Sitharama Raju
%A Nagesh Vadaparthi
%T Memoir: A History based Prediction for Job Scheduling in Grid Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 10
%P 1-13
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Computational grid is an emerging trend in the area that allows the management of heterogeneous, geographically distributed and dynamically available resources in an effective way by extending the boundaries of what is being perceived as distributed computing. The most crucial problem in any grid environment is job scheduling which is observed to be as NP-Complete problem. Thus there is no possible best solution for scheduling the repeatedly submitted jobs in particular to the jobs that have long duration for execution, I/O intensive and resource requirements which vary at different times during the task execution. It is also essential to analyze the variation in resource requirements based on the past history of the same job executed earlier and use the gathered information in the decision making process. Hence, in this paper we propose and develop a novel approach for job scheduling based on past history.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Scheduling I/o Intensive Prediction Np-complete

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