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 30% and well trained ANN can provide extra 10% performance. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Li, B., & Qian, D. (2006). Prediction algorithms in large scale VOD services on grid infrastructure. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4261 LNCS, pp. 818–826). Springer Verlag. https://doi.org/10.1007/11922162_93
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