The SPIFFI scalable video-on-demand system

  • Authors:
  • Craig S. Freedman;David J. DeWitt

  • Affiliations:
  • Computer Sciences Department, University of Wisconsin, Madison, WI;Computer Sciences Department, University of Wisconsin, Madison, WI

  • Venue:
  • SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
  • Year:
  • 1995

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Abstract

This paper presents a simulation study of a video-on-demand system. We present video server algorithms for real-time disk scheduling, prefetching, and buffer pool management. The performance of these algorithms is compared against the performance of simpler algorithms such as elevator and round-robin disk scheduling and global LRU buffer pool management. Finally, we show that the SPIFFI video-on-demand system scales nearly linearly as the number of disks, videos, and terminals is increased.