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Resource placement in content delivery networks using hybrid genetic algorithm

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2 Author(s)
J. J. Yin ; Dept. of Electron. Eng., City Univ. of Hong Kong, China ; W. K. S. Tang

In this paper, different existing optimization algorithms for resource placement in content delivery network (CDN) are studied. It is confirmed that the best sub-optimal solution can be obtained by greedy algorithm, as compared with tabu search and direct-coded genetic algorithm. To further improve the design of CDN, a hybrid approach combining an order-based genetic algorithm and a greedy algorithm is proposed. From the simulations, it is demonstrated that the new approach performs the best in different networks as compared with greedy algorithm, tabu search and direct-coded genetic algorithm.

Published in:

INDIN '05. 2005 3rd IEEE International Conference on Industrial Informatics, 2005.

Date of Conference:

10-12 Aug. 2005