Empirical Characterization of Session–Based Workload and Reliability for Web Servers

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• 作者：Katerina Go?eva-Popstojanova ; Ajay Deep Singh ; Sunil Mazimdar and Fengbin Li
• 关键词：Web workload ; Web error behaviour ; Web reliability ; Session ; based analysis ; Heavy ; tailed distributions
• 刊名：Empirical Software Engineering
• 出版年：2006
• 出版时间：March 2006
• 年：2006
• 卷：11
• 期：1
• 页码：71-117
• 全文大小：1,433 KB
• 刊物类别：Computer Science
• 刊物主题：Software Engineering, Programming and Operating Systems
  Programming Languages, Compilers and Interpreters
  
• 出版者：Springer Netherlands
• ISSN：1573-7616

文摘

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 eleven Web servers. First, we introduce and rigourously analyze several intra–session and inter–session metrics that collectively describe Web workload in terms of user sessions. Then, 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.