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A New Approach to Grid Scheduling using Random Weighted Genetic Algorithm with Fault Tolerance Strategy

by Chinmoy Kar, Vineet Kumar Rakesh, Tapas Samanta, Sreeparna Banerjee
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 48 - Number 23
Year of Publication: 2012
Authors: Chinmoy Kar, Vineet Kumar Rakesh, Tapas Samanta, Sreeparna Banerjee
10.5120/7524-0632

Chinmoy Kar, Vineet Kumar Rakesh, Tapas Samanta, Sreeparna Banerjee . A New Approach to Grid Scheduling using Random Weighted Genetic Algorithm with Fault Tolerance Strategy. International Journal of Computer Applications. 48, 23 ( June 2012), 42-47. DOI=10.5120/7524-0632

@article{ 10.5120/7524-0632,
author = { Chinmoy Kar, Vineet Kumar Rakesh, Tapas Samanta, Sreeparna Banerjee },
title = { A New Approach to Grid Scheduling using Random Weighted Genetic Algorithm with Fault Tolerance Strategy },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 48 },
number = { 23 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 42-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume48/number23/7524-0632/ },
doi = { 10.5120/7524-0632 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:44:53.800717+05:30
%A Chinmoy Kar
%A Vineet Kumar Rakesh
%A Tapas Samanta
%A Sreeparna Banerjee
%T A New Approach to Grid Scheduling using Random Weighted Genetic Algorithm with Fault Tolerance Strategy
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 23
%P 42-47
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Grid provides us a huge amount of computational resources in a distributed manner, using which we can perform our tasks over these grid environments. These resources are geographically distributed around the globe and are dynamically available. Hence, to schedule them for actual use we need to consider various points like, availability, fault tolerance, and response time etc. In this paper we consider a grid scheduling strategy with respect to multiple objectives. We have followed a multi objective genetic algorithm which is basically a Random Weighted Genetic Algorithm (RWGA) considering the checkpoint based fault tolerance mechanism to prevent resource failure.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Genetic Algorithm (ga) Multi Objective Genetic Algorithm (moga) Weighted Sum Approach Grid Scheduling Checkpoint Fault Tolerance

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