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A genetic algorithm for file and task placement in a distributed system

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2 Author(s)
Corcoran, A.L. ; Dept. of Math. & Comput. Sci., Tulsa Univ., OK, USA ; Schoenefeld, D.A.

We explore the distributed file and task placement problem, which is intractable. We also discuss genetic algorithms and how they have been used successfully to solve combinatorial problems. Our experimental results show the GA to be far superior to the greedy heuristic in obtaining optimal and near optimal file and task placements for the problem with various data sets

Published in:

Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on

Date of Conference:

27-29 Jun 1994

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