Video placement in video-on-demand system using genetic algorithm

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Industrial Technology
PublisherIEEE
Pages672-676
Volume1
Publication statusPublished - 2000

Publication series

Name
Volume1

Conference

TitleIEEE ICIT' 2000: The International Conference on Industrial Technology
CityGoa, India
Period19 - 22 January 2000

Abstract

Placing thousands of videos into multiple storage disk arrays is considered a tedious but major task in the centralized Video-On-Demand system. Currently, this time-consuming task is handled by experienced operators. The solution is hence sub-optimal and operator-dependent. In this paper, Genetic algorithm (GA) is proposed to tackle this problem and to allocate the video automatically. The advantages of using GA are its elegance and simplicity of procedures, as well as the ability to handle different system constraints and optimize the multiple objectives.

Citation Format(s)

Video placement in video-on-demand system using genetic algorithm. / Tang, K. S.; Ko, K. T.; Chan, Sammy; Wong, Eric.

Proceedings of the IEEE International Conference on Industrial Technology. Vol. 1 IEEE, 2000. p. 672-676.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review