Affiliation:
1. Computer Sciences Department, University of Wisconsin, Madison, WI
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.
Publisher
Association for Computing Machinery (ACM)
Subject
Information Systems,Software
Cited by
8 articles.
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