Welcome to the InfoSci Platform
Reference Hub6
Resource Allocation in Grid Computing Environment Using Genetic–Auction Based Algorithm

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

Kuppani Satish, A. Rama Mohan Reddy
Copyright: © 2018 |Volume: 10 |Issue: 1 |Pages: 15
ISSN: 1938-0259|EISSN: 1938-0267|EISBN13: 9781522543367|DOI: 10.4018/IJGHPC.2018010101
Cite Article Cite Article

MLA

Satish, Kuppani, and A. Rama Mohan Reddy. "Resource Allocation in Grid Computing Environment Using Genetic–Auction Based Algorithm." IJGHPC vol.10, no.1 2018: pp.1-15. http://doi.org/10.4018/IJGHPC.2018010101

APA

Satish, K. & Reddy, A. R. (2018). Resource Allocation in Grid Computing Environment Using Genetic–Auction Based Algorithm. International Journal of Grid and High Performance Computing (IJGHPC), 10(1), 1-15. http://doi.org/10.4018/IJGHPC.2018010101

Chicago

Satish, Kuppani, and A. Rama Mohan Reddy. "Resource Allocation in Grid Computing Environment Using Genetic–Auction Based Algorithm," International Journal of Grid and High Performance Computing (IJGHPC) 10, no.1: 1-15. http://doi.org/10.4018/IJGHPC.2018010101

Export Reference

Mendeley
Favorite Full-Issue Download

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.