Analysis of measurement data from sporting event Web sites

Abstract

With the growing popularity of Web applications, there is a considerable increase in the importance of managing Web sites to deliver high levels of performance and scalability to accommodate future growth and evolution. One of the key issues in this regard concerns a better understanding of the traffic patterns at multiple levels, such as the levels of requests, pages and sessions. This paper presents a detailed analysis of measurement data from various sources pertaining to a specific multi-tiered, geographically distributed architecture that has been used to host the Web sites for a number of recent, popular sporting events. Our analysis of the request-level and page-level patterns demonstrate differences among the Web sites depending upon the type of event and the breadth of interests of the user community. Some of these patterns are consistent with commercial Web sites, while others are significantly different. These results further illustrate geographical differences in the request-level and page-level patterns. Our analysis also investigates in detail session-level characteristics. This includes an analysis of the session durations, the think time distributions, the dependence structure of the session arrival process, and the page views comprising each session.