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Reseach Article

An Efficient Hybrid Job Scheduling Algorithm for Computational Grids

Published on November 2011 by G.K.Kamalam, Dr. V.Murali Bhaskaran
International Conference on Web Services Computing
Foundation of Computer Science USA
ICWSC - Number 1
November 2011
Authors: G.K.Kamalam, Dr. V.Murali Bhaskaran
69609ae6-b13c-4c4c-8f4d-9bd48a454e82

G.K.Kamalam, Dr. V.Murali Bhaskaran . An Efficient Hybrid Job Scheduling Algorithm for Computational Grids. International Conference on Web Services Computing. ICWSC, 1 (November 2011), 6-10.

@article{
author = { G.K.Kamalam, Dr. V.Murali Bhaskaran },
title = { An Efficient Hybrid Job Scheduling Algorithm for Computational Grids },
journal = { International Conference on Web Services Computing },
issue_date = { November 2011 },
volume = { ICWSC },
number = { 1 },
month = { November },
year = { 2011 },
issn = 0975-8887,
pages = { 6-10 },
numpages = 5,
url = { /proceedings/icwsc/number1/3969-wsc002/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Web Services Computing
%A G.K.Kamalam
%A Dr. V.Murali Bhaskaran
%T An Efficient Hybrid Job Scheduling Algorithm for Computational Grids
%J International Conference on Web Services Computing
%@ 0975-8887
%V ICWSC
%N 1
%P 6-10
%D 2011
%I International Journal of Computer Applications
Abstract

Scheduling of jobs is a challenging problem in grid. Efficient job scheduling is essential for the effective utilization of the resources. We propose a grid model as a collection of clusters. In this paper, we apply Divisible Load Theory (DLT) and Least Cost Method (LCM) to model the grid scheduling problem involving multiple worker nodes in each cluster. We propose a hybrid job scheduling algorithm that minimizes the overall processing time of the job in a grid system that consists of heterogeneous hosts. The results show that the proposed algorithm is feasible and improves the makespan considerably.

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Index Terms

Computer Science
Information Sciences

Keywords

Grid Job Scheduling Cluster Coordinator Node Worker Node Heterogeneous Hosts