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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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International Journal of Computer Applications
© 2011 by IJCA Journal
Volume 34 - Number 6
Year of Publication: 2011
Authors:
Marwa Shouman
Gamal Attiya
Ibrahim Z. Morsi
10.5120/4095-5977

Marwa Shouman, Gamal Attiya and Ibrahim Z Morsi. Article: Static Workload Distribution of Parallel Applications in Heterogeneous Distributed Computing Systems with Memory and Communication Capacity Constraints. International Journal of Computer Applications 34(6):18-24, November 2011. Full text available. BibTeX

@article{key:article,
	author = {Marwa Shouman and Gamal Attiya and Ibrahim Z. Morsi},
	title = {Article: Static Workload Distribution of Parallel Applications in Heterogeneous Distributed Computing Systems with Memory and Communication Capacity Constraints},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {34},
	number = {6},
	pages = {18-24},
	month = {November},
	note = {Full text available}
}

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 Brach-and-Bound (BB) algorithm.

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