Resource placement in content delivery networks using hybrid genetic algorithm
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | 2005 3rd IEEE International Conference on Industrial Informatics, INDIN |
Pages | 281-285 |
Volume | 2005 |
Publication status | Published - 2005 |
Publication series
Name | |
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Volume | 2005 |
Conference
Title | 2005 3rd IEEE International Conference on Industrial Informatics, INDIN |
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Place | Australia |
City | Perth |
Period | 10 - 12 August 2005 |
Link(s)
Abstract
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. © 2005 IEEE.
Research Area(s)
- Content delivery networks, Genetic algorithm, Greedy algorithm, Resource placement
Citation Format(s)
Resource placement in content delivery networks using hybrid genetic algorithm. / Yin, J. J.; Tang, Wallace K. S.
2005 3rd IEEE International Conference on Industrial Informatics, INDIN. Vol. 2005 2005. p. 281-285 1560390.
2005 3rd IEEE International Conference on Industrial Informatics, INDIN. Vol. 2005 2005. p. 281-285 1560390.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review