The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
Transactions ID Number: 54-114
Full Name: Ku Ruhana Ku-Mahamud
Position: Professor
Age: ON
Sex: Female
Address: School of Computing, Universiti Utara Malaysia, Sintok, Kedah
Country: MALAYSIA
Tel: 006049284717
Tel prefix:
Fax: 006049284753
E-mail address: ruhana@uum.edu.my
Other E-mails: indah35@gmail.com
Title of the Paper: Job scheduling in grid computing using ant based algorithm
Authors as they appear in the Paper: Husna Jamal Abdul Nasir, Ku Ruhana Ku-Mahamud, Aniza Mohamed Din
Email addresses of all the authors: oxalic2131@gmail.com, ruhana@uum.edu.my, anizamd@uum.edu.my
Number of paper pages: 10
Abstract: Stagnation in grid computing system may occur when all jobs require or are assigned to the same resources which will lead to resources having high workload. Stagnation may also occur if the computational time of the processed job is high. This paper proposed an enhanced ant colony optimization technique for jobs and resources scheduling in static grid computing. The proposed algorithm combines the techniques from Ant Colony System and Max – Min Ant System and focused on local and global pheromone trail updates and trail limit. The grid resource table is used in this proposed technique to store all information about jobs, resources and pheromone value.
Keywords: Grid Scheduling, System Stagnation, Ant Colony Optimization
EXTENSION of the file: .doc
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Organizer of the Session:
How Did you learn about congress: computing, ant colony optimization
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