Empirical Study of Session-Based Workload and Reliability for Web Servers

Authors:
Katerina Goseva-Popstojanova;Sunil Mazimdar;Ajay Deep Singh
Affiliations:
West Virginia University, Morgantown, WV;West Virginia University, Morgantown, WV;West Virginia University, Morgantown, WV
Venue:
ISSRE '04 Proceedings of the 15th International Symposium on Software Reliability Engineering
Year:
2004

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Abstract

The growing availability of Internet access has led to significant increase in the use of World Wide Web. If we are to design dependable Web-based systems that deal effectively with the increasing number of clients and highly variable workload, it is important to be able to describe the Web workload and errors accurately. In this paper we focus on the detailed empirical analysis of the session-based workload and reliability based on the data extracted from actual Web logs of ten Web servers. First, we address the data collection process and describe the methods for extraction of workload and error data from Web log files. Then, we introduce and analyze several intra-session and inter-session metrics that collectively describe Web workload in terms of user sessions. Furthermore, we analyze Web error characteristics and estimate the request-based and session-based reliability of Web servers. Finally, we identify the invariants of the Web workload and reliability that apply through all data sets considered. The results presented in this paper show that session-based workload and reliability are better indicators of the users perception of the Web quality than the request-based metrics and provide more useful measures for tuning and maintaining of the Web servers.