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Scheduling dynamic load-balancing in parallel and distributed computers using modified genetic algorithm with time dependent fitness function

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4 Author(s)
Mohammadzadeh, J. ; Comput. Dept., Islamic Azad Univ. of Karaj Branch, Karaj, Iran ; Moeinzadeh, M. ; Sharifian-R, S. ; Mahdavi, L.

Load Balancing has many applications in various systems, but specifically plays a major role in the efficiency of parallel and distributed systems. In these systems, by load balancing we mean scheduling the jobs in a way that every job could be executed concurrently while it is mapped to a processing unit, such as a processor (in a multi-processor system) or a computer (in a grid computer). By developing effective methods the whole program time execution will be decreased and process utilization will be optimized. In this paper, a solution is proposed for dynamic load balancing. Because of the NP-hard nature of the problem, heuristic methods are desired. A simple scheduling method, Round Robin, and Genetic algorithm are discussed as previous methods for this problem and in order to improve the results a new modification of Genetic Algorithm is presented.

Published in:

Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on  (Volume:1 )

Date of Conference:

20-22 Nov. 2009