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Static Workload Distribution of Parallel Applications in Heterogeneous Distributed Computing Systems with Memory and Communication Capacity Constraints

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Author(s): Marwa Shouman | Gamal Attiya | Ibrahim Z. Morsi

Journal: International Journal of Computer Applications
ISSN 0975-8887

Volume: 34;
Issue: 6;
Start page: 18;
Date: 2011;
Original page

Keywords: Load Balancing | Simulated Annealing | Genetic Algorithm | Heuristics | Mapping

ABSTRACT
This paper addresses the problem of static load balancing in heterogeneous distributed computing systems taking into account both memory and communication capacity constraints. The load balancing problem is first modeled as an optimization problem. Then, a heuristic approach, called Adaptive Genetic Algorithm 'AGA', is proposed to solve the problem. The performance of the proposed algorithm is evaluated by simulation studies on randomly generated instances and the results are compared with that obtained by applying both the Genetic Algorithm 'GA' and the Simulated Annealing 'SA'. Also, the qualities of the results are compared with the optimal solutions that obtained by applying the BrachandBound 'BB' algorithm.
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