Arun K. Iyengar, Mark S. Squillante, Li Zhang  Home/Search
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Abstract: In this paper we develop a general methodology for characterizing the access patterns of Web server requests based on a time-series 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 heavily-accessed Web server environments. We then apply an instance of this... (Update)
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BibTeX entry: (Update)
Iyengar, A. K., M. S. Squillante, and L. Zhang (1998b), "Analysis and Characterization of Large-Scale Web Server Access Patterns and Performance," Technical Report RC 21328, IBM Research Division. http://citeseer.ist.psu.edu/iyengar99analysis.html More
@article{ iyengar99analysis,
author = "Arun Iyengar and Mark S. Squillante and Li Zhang",
title = "Analysis and Characterization of Large-Scale Web Server Access Patterns and Performance",
journal = "World Wide Web",
volume = "2",
number = "1-2",
pages = "85-100",
year = "1999",
url = "citeseer.ist.psu.edu/iyengar99analysis.html" }
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