Conference on Group Theory by R. W. Gatterdam, K. W. Weston

By R. W. Gatterdam, K. W. Weston

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Patterson and John L. Hennessy: Computer Organization & Design. 392–490, 1998 6. Brian K. Schmidt, Monica S. Lam, J. Duane Northcutt: The interactive performance of SLIM: a stateless, thin-client architecture. 31–47, 1999 7. C. Feng and M. Lie: Critical Bandwidth Allocation Techniques for Stored Video Delivery Across Best-Effort Networks. 201–207, 2000 8. Jung-Min Choi, Seung-Won Lee, Ki-Dong Chung: A Muticast Delivery Scheme for VCR Operations in a Large VOD System. 555–561, June 2001 An Effective Failure Recovery Mechanism with Pipeline Computing 23 9.

The buffer manager divides the memory buffer into the cache and the read-ahead buffer. The read-ahead buffer stores data to be sent immediately to clients while the cache stores data already sent to clients which can be reused when requests for the same object arrive. Note that data in the memory buffer do not actually move their physical positions (from the read-ahead buffer to the cache) but just a cache flag is used to indicate whether it is in the cache. For each stream request, when the requested block is not in the cache, the I/O manager acquires a free block, inserts it into the read-ahead buffer, and starts disk I/O.

Ozden et al. proposed a cache replacement algorithm named distance algorithm which is similar to the interval caching policy [5-6]. It assigns a distance value to each request based on its distance from the previous request and always replaces the block consumed by the request with the largest distance value over all streams. The interval caching scheme and the distance algorithm only focus on the inter-arrival times between two consecutive requests. Therefore, when the size of a multimedia object is not sufficiently large or when the inter-arrival time of stream requests is too long, there is little opportunity to obtain the effectiveness of caching.

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