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Multi-Objective Optimization to Workflow Grid Scheduling using Reference Point based Evolutionary Algorithm

by Ritu Garg, Awadhesh Kumar Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 22 - Number 6
Year of Publication: 2011
Authors: Ritu Garg, Awadhesh Kumar Singh
10.5120/2584-3570

Ritu Garg, Awadhesh Kumar Singh . Multi-Objective Optimization to Workflow Grid Scheduling using Reference Point based Evolutionary Algorithm. International Journal of Computer Applications. 22, 6 ( May 2011), 44-49. DOI=10.5120/2584-3570

@article{ 10.5120/2584-3570,
author = { Ritu Garg, Awadhesh Kumar Singh },
title = { Multi-Objective Optimization to Workflow Grid Scheduling using Reference Point based Evolutionary Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { May 2011 },
volume = { 22 },
number = { 6 },
month = { May },
year = { 2011 },
issn = { 0975-8887 },
pages = { 44-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume22/number6/2584-3570/ },
doi = { 10.5120/2584-3570 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:08:44.202419+05:30
%A Ritu Garg
%A Awadhesh Kumar Singh
%T Multi-Objective Optimization to Workflow Grid Scheduling using Reference Point based Evolutionary Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 22
%N 6
%P 44-49
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Grid facilitates global computing infrastructure for user to consume the services over the network. To optimize the workflow grid execution, a robust multi-objective scheduling algorithm is needed. In this paper, we considered three conflicting objectives like execution time (makespan), total cost and reliability. We propose a multi-objective scheduling algorithm, using R-NSGA-II approach based on evolutionary computing paradigm. Simulation results shows that the proposed algorithm generates multiple scheduling solutions near the Pareto optimal front with small computation overhead.

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Index Terms

Computer Science
Information Sciences

Keywords

Workflow Grid Scheduling Multi-objective Optimization MOEA Pareto dominance

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