Grid Load Balancing Using Ant Colony Optimization

Author

Nasir, Husna Jamal Abdul ; Ku-Mahamud, Ku Ruhana

Author_Institution

Coll. of Arts & Sci., Univ. Utara Malaysia, Sintok, Malaysia

fYear

2010

fDate

23-25 April 2010

Firstpage

207

Lastpage

211

Abstract

An enhanced ant colony optimization technique for jobs and resources scheduling in grid computing is proposed in this paper. The proposed technique combines the techniques from Ant Colony System and Max - Min Ant System and focused on local pheromone trail update and trail limit. The agent concept is also integrated in this proposed technique for the purpose of updating the grid resource table. This facilitates in scheduling jobs to available resources efficiently which will enable jobs to be processed in minimum time and also balance all the resource in grid system.

Keywords

grid computing; minimax techniques; resource allocation; scheduling; ant colony optimization technique; grid load balancing; grid resource table; job scheduling; maxmin ant system; Ant colony optimization; Application software; Art; Computer networks; Distributed computing; Educational institutions; Grid computing; Load management; Processor scheduling; Resource management; Enhanced Ant Colony Optimization; Grid Resource Management; Load Balancing; Stagnation; System Architecture;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Network Technology (ICCNT), 2010 Second International Conference on

Conference_Location

Bangkok

Print_ISBN

978-0-7695-4042-9

Electronic_ISBN

978-1-4244-6962-8

Type

conf

DOI

10.1109/ICCNT.2010.10

Filename

5474508