Abstract
A video-on-demand server must satisfy a large customer base and a diverse archive of movies under changing movie popularity and daily load peaks. These requirements must be satisfied under the constraints imposed by storage device costs, capacities, I/O bandwidths, and geographic locations.
In this paper we describe a partitioning of video data (movies) onto a video-on-demand storage hierarchy to achieve efficient storage and I/O bandwidth utilization. Our approach uses a probabilistic model of movie popularity in data distribution and replication to balance user requests with available disk I/O bandwidth. The results can be applied in the design of a distributed video-on-demand system.
This work is supported in part by the National Science Foundation under Grant No. NRI-9211165.
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© 1994 Springer-Verlag Berlin Heidelberg
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Little, T.D.C., Venkatesh, D. (1994). Probabilistic assignment of movies to storage devices in a video-on-demand system. In: Shepherd, D., Blair, G., Coulson, G., Davies, N., Garcia, F. (eds) Network and Operating System Support for Digital Audio and Video. NOSSDAV 1993. Lecture Notes in Computer Science, vol 846. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58404-8_19
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DOI: https://doi.org/10.1007/3-540-58404-8_19
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