Internet Web servers: workload characterization and performance implications
IEEE/ACM Transactions on Networking (TON)
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
The content and access dynamics of a busy Web site: findings and implications
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
Summary of WWW characterizations
World Wide Web
Characterization of E-Commerce Traffic
Electronic Commerce Research
A large-scale study of the evolution of web pages
WWW '03 Proceedings of the 12th international conference on World Wide Web
A hierarchical and multiscale approach to analyze E-business workloads
Performance Evaluation
The portrait of a common HTML web page
Proceedings of the 2006 ACM symposium on Document engineering
Characterization of national Web domains
ACM Transactions on Internet Technology (TOIT)
Open issues in organizing computer systems conferences
ACM SIGCOMM Computer Communication Review
Traffic analysis of a Web proxy caching hierarchy
IEEE Network: The Magazine of Global Internetworking
A workload characterization study of the 1998 World Cup Web site
IEEE Network: The Magazine of Global Internetworking
Analysis of web logs: challenges and findings
PERFORM'10 Proceedings of the 2010 IFIP WG 6.3/7.3 international conference on Performance Evaluation of Computer and Communication Systems: milestones and future challenges
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This paper presents a workload characterization study of the WWW2007 conference Web site. We use both server-sideband client-side measurement to collect data for our analysis. The collected datasets contain approximately 10 million requests from about130,000 unique visitors generating 215 GB of traffic volume during a 1-year period. Our analysis focuses on usage behaviour, client errors, client network properties,bandwidth, and robot activity of the site.In addition to the workload characterization study itself,our work also offers a comparative discussion of different approaches to Web data analysis, and some insights for future organizers of large systems conferences with a significant Web presence.