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Cutting the energy cost of TV content distribution by 5, by understanding the popularity of the top ten programs

Published:09 May 2012Publication History

ABSTRACT

In this talk, I will describe work we have been doing with a major TV company to reduce the energy costs of their content distribution, which currently uses 3 different types of network. In the near future, when the networks are unified, and content is delivered to tablets, set top boxes and digital receivers alike, there are opportunities for data mining users' interests to provide accurate predictors for which content should be delivered when and where using which mode of CDN. The results can be an impressive reduction in energy consumption compared with today's systems.

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  1. Cutting the energy cost of TV content distribution by 5, by understanding the popularity of the top ten programs

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      • Published in

        cover image ACM Other conferences
        e-Energy '12: Proceedings of the 3rd International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet
        May 2012
        250 pages
        ISBN:9781450310550
        DOI:10.1145/2208828

        Copyright © 2012 Author

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 9 May 2012

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