Resource placement in content delivery networks using hybrid genetic algorithm

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

5 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publication2005 3rd IEEE International Conference on Industrial Informatics, INDIN
Pages281-285
Volume2005
Publication statusPublished - 2005

Publication series

Name
Volume2005

Conference

Title2005 3rd IEEE International Conference on Industrial Informatics, INDIN
PlaceAustralia
CityPerth
Period10 - 12 August 2005

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.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review