Title :
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
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;
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
DOI :
10.1109/ICCNT.2010.10
