On the sensitivity of Web proxy cache performance to workload characteristics

Abstract
This paper describes the design and use of a synthetic Web proxy workload generator (ProWGen) to investigate the sensitivity of proxy cache replacement policies to selected Web workload characteristics. Trace- driven simulations with synthetic workloads from ProWGen show the rela- tive sensitivity of three popular cache replacement algorithms - LRU, LFU- Aging, and GD-Size - to Zipf slope, temporal locality, and correlation (if any) between file size and popularity, and the relative insensitivity of these algorithms to one-timers and heavy tail index. Performance differences be- tween the three policies are also highlighted.

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