Web Traffic Modeling and Server Performance Analysis

L. Zhang

IBM T.J. Watson Research Center


Résumé:

We seek to identify the key characteristics of the Web request traffic patterns in dynamic and heavily-accessed Web server environments, and to understand the impact of such traffic patterns on Web server performance. Using the data from the official Web site during the 1998 Winter Olympic Games in Nagano, Japan, we develop traffic models to represent the process of user requests that are the input to the geographically-distributed Web server systems. Our analysis of the traffic data illustrates traffic patterns that exhibit both light-tailed and heavy-tailed behaviors. We then feed these traffic processes into one of the Web server systems modeled as a general single-server queue and analyze the waiting-time process, which models the latency encountered by user requests, a key measure of quality of service.


[L. Zhang]
[IBM T.J. Watson Research Center]