Adaptive piggybacking: a novel technique for data sharing in video-on-demand storage servers |
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| Authors: | Leana Golubchik John C S Lui Richard R Muntz |
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| Affiliation: | (1) Department of Computer Science, Columbia University, New York, NY, 10027, USA, US;(2) Department of Computer Science, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, HK;(3) Computer Science Department, University of California at Los Angeles, Los Angeles, CA 90095, USA, US |
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| Abstract: | Recent technology advances have made multimedia on-demand services, such as home entertainment and home-shopping, important
to the consumer market. One of the most challenging aspects of this type of service is providing access either instantaneously
or within a small and reasonable latency upon request. We consider improvements in the performance of multimedia storage servers
through data sharing between requests for popular objects, assuming that the I/O bandwidth is the critical resource in the system. We discuss a novel approach to data sharing,
termed adaptive piggybacking, which can be used to reduce the aggregate I/O demand on the multimedia storage server and thus
reduce latency for servicing new requests. |
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| Keywords: | :Multimedia storage systems – Video-on-demand – Data sharing – Resource management – Merging policies |
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