Generating representative Web workloads for network and server performance evaluation
SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Learning user's preferences by analyzing Web-browsing behaviors
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Scaling for E Business: Technologies, Models, Performance, and Capacity Planning
Scaling for E Business: Technologies, Models, Performance, and Capacity Planning
Information search and re-access strategies of experienced web users
WWW '05 Proceedings of the 14th international conference on World Wide Web
Usability tool for analysis of web designs using mouse tracks
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Off the beaten tracks: exploring three aspects of web navigation
Proceedings of the 15th international conference on World Wide Web
A model-based approach for testing the performance of web applications
Proceedings of the 3rd international workshop on Software quality assurance
Web page revisitation revisited: implications of a long-term click-stream study of browser usage
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Web search strategies: The influence of Web experience and task type
Information Processing and Management: an International Journal
Dweb model: Representing Web 2.0 dynamism
Computer Communications
Characterizing user behavior in online social networks
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Anatomy of the long tail: ordinary people with extraordinary tastes
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Parallel browsing behavior on the web
Proceedings of the 21st ACM conference on Hypertext and hypermedia
The Impact of User's Dynamic Behavior on Web Performance
NCA '12 Proceedings of the 2012 IEEE 11th International Symposium on Network Computing and Applications
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The user interaction with the current web contents is a major concern when defining web workloads in order to precisely estimate system performance. However, the intrinsic difficulty to represent this behavior in a workload model leads many research works to still use workloads non representative of the current web navigations. In contrast, in previous works we demonstrated that the use of an accurate workload model that considers user's dynamism when navigating the web clearly affects system performance metrics. In this paper we analyze, for the first time, the effect of considering the User-Browser Interaction (UBI) as a part of user's dynamic behavior on web workload characterization in performance studies. To this end, we evaluate a typical e-commerce scenario and compare the obtained results for different UBI behaviors, such as the use of the back button and parallel browsing originated by using browser tabs or opening new windows when surfing a website.