Characteristics of wide-area TCP/IP conversations
SIGCOMM '91 Proceedings of the conference on Communications architecture & protocols
Empirically derived analytic models of wide-area TCP connections
IEEE/ACM Transactions on Networking (TON)
Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
Web server workload characterization: the search for invariants
Proceedings of the 1996 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
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
Self-similarity and heavy tails: structural modeling of network traffic
A practical guide to heavy tails
What TCP/IP protocol headers can tell us about the web
Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Statistical bandwidth sharing: a study of congestion at flow level
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Principles of data mining
Monitoring very high speed links
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
Session-Based Admission Control: A Mechanism for Peak Load Management of Commercial Web Sites
IEEE Transactions on Computers
A compound model for TCP connection arrivals for LAN and WAN applications
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Advances in modeling and engineering of Longe-Range dependent traffic
EtE: Passive End-to-End Internet Service Performance Monitoring
ATEC '02 Proceedings of the General Track of the annual conference on USENIX Annual Technical Conference
Routing, Flow, and Capacity Design in Communication and Computer Networks
Routing, Flow, and Capacity Design in Communication and Computer Networks
Mining unclassified traffic using automatic clustering techniques
TMA'11 Proceedings of the Third international conference on Traffic monitoring and analysis
A novel model for user clicks identification based on hidden semi-Markov
Journal of Network and Computer Applications
| Hi-index | 0.00 |
This paper focuses on the definition and identification of "Web user-sessions", aggregations of several TCP connections generated by the same source host. The identification of a user-session is non trivial. Traditional approaches rely on threshold based mechanisms. However, these techniques are very sensitive to the value chosen for the threshold, which may be difficult to set correctly. By applying clustering techniques, we define a novel methodology to identify Web user-sessions without requiring an a priori definition of threshold values. We define a clustering based approach, we discuss pros and cons of this approach, and we apply it to real traffic traces. The proposed methodology is applied to artificially generated traces to evaluate its benefits against traditional threshold based approaches. We also analyze the characteristics of user-sessions extracted by the clustering methodology from real traces and study their statistical properties. Web user-sessions tend to be Poisson, but correlation may arise during periods of network/hosts anomalous behavior.