A Genetic-Based Optimization Model for Clustered Node Allocation System in a Distributed Environment


The KIPS Transactions:PartA, Vol. 10, No. 1, pp. 15-24, Mar. 2003
10.3745/KIPSTA.2003.10.1.15,   PDF Download:

Abstract

In this paper, an optimization model for the clustered node allocation systems in the distributed computing environment is presented. In the presented model with a distributed file system framework, the dynamics of system behavior over times is carefully thought over the nodes and hence the functionality of the cluster monitor node to check the feasibility of the current set of clustered node allocation is given. The cluster monitor node of the node allocation system capable of distributing the parallel modules to clustered nodes provides a good allocation solution using Genetic Algorithms (GA). As a part of the experimental studies, the solution quality and computation time effects of varying GA experimental parameters, such as the encoding scheme, the genetic operators (crossover, mutations), the population size, and the number of node modules, and the comparative findings are presented.


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Cite this article
[IEEE Style]
K. M. Park, "A Genetic-Based Optimization Model for Clustered Node Allocation System in a Distributed Environment," The KIPS Transactions:PartA, vol. 10, no. 1, pp. 15-24, 2003. DOI: 10.3745/KIPSTA.2003.10.1.15.

[ACM Style]
Kyeong Mo Park. 2003. A Genetic-Based Optimization Model for Clustered Node Allocation System in a Distributed Environment. The KIPS Transactions:PartA, 10, 1, (2003), 15-24. DOI: 10.3745/KIPSTA.2003.10.1.15.