Resource Allocation in Grid Computing Environment Using Genetic–Auction Based Algorithm

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Author(s): Kuppani Satish (Department of Computer Science and Engineering, Sri Venkateswara University, Tirupati, India)and A. Rama Mohan Reddy (Department of Computer Science and Engineering, Sri Venkateswara University, Tirupati, India)
Copyright: 2018
Volume: 10
Issue: 1
Pages: 15
Source title: International Journal of Grid and High Performance Computing (IJGHPC)
Editor(s)-in-Chief: Emmanuel Udoh (Sullivan University, USA)and Ching-Hsien Hsu (Asia University, Taiwan)
DOI: 10.4018/IJGHPC.2018010101

Keywords: Computer Science & IT / Grid & High Performance Computing / High Performance Computing / Information Science Reference

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Abstract

The main core functionality of Grid Computing is resource allocation and scheduling. With the idea of genetic algorithms and microeconomics, it is proposed a Resource allocation method called a genetic-auction based algorithm [GAAB]. This algorithm contains two modules, auction module and genetic approach. Auction module find outs resource-trading price between resource provider and resource buyer, and the resource allocation carried out by Genetic algorithm by considering both time and cost constraints simultaneously. In this article, evaluations are made in the simulation environment and the results show the effectiveness of the proposed model.

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