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An Analytical Approach to File Prefetching

Lei, Hui; Duchamp, Dan

File prefetching is an effective technique for improving file access performance. In this paper, we present a file prefetching mechanism that is based on on-line analytic modeling of interesting system events and is transparent to higher levels. The mechanism, incorporated into a client's file cache manager, seeks to build semantic structures, called access trees, that capture the correlations between file accesses. It then heuristically uses these structures to represent distinct file usage patterns and exploits them to prefetch files from a file server. We show results of a simulation study and of a working implementation. Measurements suggest that our method can predict future file accesses with an accuracy around 90\%,that it can reduce cache miss rate by up to 47\% and application latency by up to 40\%. Our method imposes little overhead, even under antagonistic circumstances.

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More About This Work

Academic Units
Computer Science
Publisher
Department of Computer Science, Columbia University
Series
Columbia University Computer Science Technical Reports, CUCS-031-96
Published Here
April 25, 2011
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