Performance Evaluation of a Privacy-Enhancing Framework for Personalized Websites
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
A PLA-based privacy-enhancing user modeling framework and its evaluation
User Modeling and User-Adapted Interaction
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The usage of Internet is rapidly increasing and a large part of the Internet traffic is generated by the World Wide Web (WWW) and the associated protocol HyperText Transfer Protocol (HTTP). Several important parameters that affect the performance of the WWW are bandwidth, scalability, and latency. To tackle these parameters and to improve the overall performance of the system, it is important to understand and to characterize the application level characteristics. This article is reporting on the measurement and analysis of HTTP traffic collected on the student access network at the Blekinge Institute of Technology in Karlskrona, Sweden. The analysis is done on various HTTP traffic parameters, e.g., inter-session timings, inter-arrival timings, request message sizes, response code, and number of transactions. The reported results can be useful for building synthetic workloads for simulation and benchmarking purposes.