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A 2-Dimension Torus-based Genetic Algorithm for Multi-disk Data Allocation  

안대영 (서원대학교 컴퓨터교육과)
이상화 (서원대학교 컴퓨터정보·통신공학)
송해상 (서원대학교 컴퓨터정보·통신공학부)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.41, no.2, 2004 , pp. 9-22 More about this Journal
Abstract
This paper presents a parallel genetic algorithm for the Multi-disk data allocation problem an NP-complete problem. This problem is to find a method to distribute a Binary Cartesian Product File on disk-arrays to maximize parallel disk I/O accesses. A Sequential Genetic Algorithm(SGA), DAGA, has been proposed and showed the superiority to the other proposed methods, but it has been observed that DAGA consumes considerably lengthy simulation time. In this paper, a parallel version of DAGA(ParaDAGA) is proposed. The ParaDAGA is a 2-dimension torus-based Parallel Genetic Algorithm(PGA) and it is based on a distributed population structure. The ParaDAGA has been implemented on the parallel computer simulated on a single processor platform. Through the simulation, we study the impact of varying ParaDAGA parameters and compare the quality of solution derived by ParaDAGA and DAGA. Comparing the quality of solutions, ParaDAGA is superior to DAGA in all cases of configurations in less simulation time.
Keywords
disk allocation; genetic algorithm; parallel I/O;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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