Web Traffic Modeling and Web Server Performance Analysis Mark S. Squillante* David D. Yao~ Li Zhang* Introduction A significant amount of research has considered models to characterize network traffic for various Web server environments; e.g., see [5] and the references cited therein. Conversely, there has been very little research attempting to understand and model the request traffic of high-volume Web server environments, which are becoming increasingly common and important [3]. Many aspects of these environments are very different from those that have been previously considered in the research literature. The control and optimization of various performance measures in high-volume Web servers requires a fundamental understanding of the user request patterns and the performance impact of such traffic patterns. Using the access logs from the official IBM Web site for the 1998 Olympic Games in Nagano, Japan, we develop traffic models to represent the user request process. Our analysis shows that these traffic patterns exhibit both light-tailed and heavy-tailed marginals together with relatively strong dependence structures and some seasonal effects. We then input these traffic processes to the set of Web server systems, each modeled as a general single-server queue, and analyze the tail behavior of the waiting-time process.
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Web traffic modeling and Web server performance analysis
Squillante, Mark S.; Yao, David D.; Zhang, Li
Follow ACM SIGMETRICS Performance Evaluation Review
, Volume 27 (3)
Association for Computing Machinery – Dec 1, 1999
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