In this paper we develop a general methodology for characterizing the access patterns of Web server requests based on a spectral analysis of finite collections of observed data from real systems. Our approach is used together with the access logs from the IBM Web site for the Olympic Games to demonstrate some of its advantages over previous methods and to construct a particular class of benchmarks for large-scale heavy-traffic Web server environments. We than apply an instance of this class of benchmarks to analyze some aspects of large-scale Web server performance, demonstrating some additional problems with commonly used methods to evaluate Web server performance at differenc request reaffic intensities
By: Arun Iyengar, Mark S. Squillante, Li Zhang
Published in: RC21328 in 1998
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