Title :
A genetic algorithm for file and task placement in a distributed system
Author :
Corcoran, A.L. ; Schoenefeld, Dale A.
Author_Institution :
Dept. of Math. & Comput. Sci., Tulsa Univ., OK, USA
Abstract :
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
Keywords :
distributed processing; file organisation; genetic algorithms; search problems; GA; combinatorial problems; data sets; distributed file; distributed system; experimental results; genetic algorithm; greedy heuristic; intractable; optimal file placements; task placement problem; Communication networks; Communication system control; Computer security; Control systems; Costs; Delay; Genetic algorithms; Intelligent networks; Maintenance; Network topology;
Conference_Titel :
Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1899-4
DOI :
10.1109/ICEC.1994.349928
