Multiobjective Distributed Database System Design using Genetic Algorithms


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 6, No. 8, pp. 2000-2007, Aug. 1999
10.3745/KIPSTE.1999.6.8.2000,   PDF Download:

Abstract

Recently, DDS (Distributed Database System) has been often implemented on VAN (Value Added Network) as we know the amazing expansion of information network. DDS can yield significant cost and response time advantages over centralized systems for geographically distributed organizations. However, inappropriate design can result in high cost and poor response time. In a DDS design, the main problem is 1) how to select proper computer, and 2) how to allocate data fragment into proper nodes. This paper addresses DDS design problem of selecting the proper class of computers and the allocating data files on VAN. Also, the formulated model includes two objectives, the operating and investment cost. GA (Genetic Algorithm) is developed to solve this mathematical formulation. A numerical experiment shows that the proposed method arrives at a good solution.


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Cite this article
[IEEE Style]
L. J. Uk, K. S. Bum, J. J. Bok, "Multiobjective Distributed Database System Design using Genetic Algorithms," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 6, no. 8, pp. 2000-2007, 1999. DOI: 10.3745/KIPSTE.1999.6.8.2000.

[ACM Style]
Lee Jae Uk, Ko Suc Bum, and Jo Jung Bok. 1999. Multiobjective Distributed Database System Design using Genetic Algorithms. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 6, 8, (1999), 2000-2007. DOI: 10.3745/KIPSTE.1999.6.8.2000.