1. Web Proxy Caching Model
Web Servers
Aggregate Workload
Proxy server
We use prowgen to synthesize several wklds in which only one xtic under study is varied. The workload represents the aggregate wokld of the clients accessing the proxy. For each workld under study, we vary the repl. Policy at the proxy and the hit ratio and byte hit ratios were measured at different cache sizes during the simualtion. I will briefly show some of the results of the simulations.
Web Clients

2. Factors and Levels Cache size Cache Replacement Policy
Recency-based LRU
Frequency-based LFU-Aging
Size-based GD-Size
Workload Characteristics
One-timers, Zipf slope, tail index, correlation, temporal locality model

3. Performance Metrics Document Hit Ratio (DHR) Byte Hit Ratio (BHR)
What percentage of the documents requested by the clients are satisfied directly by the proxy, without having to obtain from the Web server?
Byte Hit Ratio (BHR)
What percentage of the bytes requested by the clients are satisfied directly by the proxy, without having to obtain from the Web server?