Abstract
Web browsing is a very common way of using the Internet to, among others, read news, do on-line shopping, or search for user generated content such as YouTube or Dailymotion. Traditional evaluations of web surfing focus on objectively measured Quality of Service (QoS) metrics such as loss rate or round-trip times; In this paper, we propose to use K-means clustering to share knowledge about the performance of the same web page experienced by different clients. Such technique allows to discover and explain the performance differences among users and identify the root causes for poor performances.
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Cui, H., Biersack, E.: Trouble Shooting Interactive Web Sessions in a Home Environment. In: ACM SIGCOMM Workshop on Home Networks, Toronto, Canada (August 2011)
Cui, H., Biersack, E.: On the Relationship Between QoS and QoE for Web Sessions. Technical Report RR-12-263, EURECOM, Sophia Antipolis, France (January 2012), http://www.eurecom.fr/~cui/techrep/TechRep12263.pdf
Datta, S., Giannella, C., Kargupta, H.: Approximate Distributed K-Means Clustering over a Peer-to-Peer Network. IEEE Transactions on Knowledge and Data Engineering 21, 1372–1388 (2009)
Joumblatt, D., Teixeira, R., Chandrashekar, J., Taft, N.: HostView: Annotating End-host Performance Measurements with User Feedback. In: ACM Sigmetrics Workshop, HotMetrics, New York, NY, USA (June 2010)
Kreibich, C., Weaver, N., Nechaev, B., Paxson, V.: Netalyzr: Illuminating The Edge Network. In: IMC 2010: Proceedings of the 10th Annual Conference on Internet Measurement, pp. 246–259. ACM, New York (2010)
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© 2012 IFIP International Federation for Information Processing
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Cui, H., Biersack, E. (2012). Distributed Troubleshooting of Web Sessions Using Clustering. In: Pescapè, A., Salgarelli, L., Dimitropoulos, X. (eds) Traffic Monitoring and Analysis. TMA 2012. Lecture Notes in Computer Science, vol 7189. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28534-9_14
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DOI: https://doi.org/10.1007/978-3-642-28534-9_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28533-2
Online ISBN: 978-3-642-28534-9
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