Prediction algorithms in large scale VOD services on grid infrastructure

Authors:
Bo Li;Depei Qian
Affiliations:
School of Computer Science and Engineering, Beijing University of Aeronautics & Astronautics, Beijing, China;School of Computer Science and Engineering, Beijing University of Aeronautics & Astronautics, Beijing, China
Venue:
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Year:
2006

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Abstract

VOD (Video on Demand) is one of significant services for next generation networks. Commonly large scale VOD services mean local networks to provide VOD services to communities about 500 to 1000 users accessing simultaneously. VOD services on grid infrastructure make resources sharing and management easy, which leads substantial cooperation among systems distributed in many places. This paper presents prediction algorithms trying to reduce the cost of external communications among large VOD nodes in a grid community. Basic algorithms can reduce overall costs about 30trained ANN can provide extra 10% performance.