Classification of traffic flows into QoS classes by unsupervised learning and KNN clustering

Article English OPEN
Chen, T.; Zeng, Y.;
(2009)

Traffic classification seeks to assign packet flows to an appropriate quality of service (QoS) class based on flow statistics without the need to examine packet payloads. Classification proceeds in two steps. Classification rules are first built by analyzing traffic tra... View more
  • References (21)
    21 references, page 1 of 3

    [1] Thuy Nguyen and Grenville Armitage, “A survey of techniques for Internet traffic classification using machine learning,” IEEE Communications Surveys and Tutorials, vo.10, no.4, pp.56-76, 2008.

    [2] H. Trussell, A. Nilsson, P. Patel, and Y. Wang, “Estimation and detection of network traffic,” in Proc. of 11th Digital Signal Processing Workshop, pp.246-248, 2004.

    [3] Anthony McGregor, Mark Hall, Perry Lorier, and James Brunskill, “Flow clustering using machine learning techniques,” in Proc. of 5th Int. Workshop on Passive and Active Network Measurement, pp.205-214, 2004.

    [4] Sebastian Zander, Thuy Nguyen, and Grenville Armitage, “Self-learning IP traffic classification based on statistical flow characteristics,” in Proc. of 6th Int. Workshop on Passive and Active Measurement, pp.325-328, 2005.

    [5] Sebastian Zander, Thuy Nguyen, and Grenville Armitage, “Automated traffic classification and application identification using machine learning,” in Proc. of IEEE Conf. on Local Computer Networks, pp.250-257, 2005.

    [6] Matthew Roughan, Subrabrata Sen, Oliver Spatscheck, and Nick Duffield, “Class-of-service mapping for QoS: a statistical signature-based approach to IP traffic classification,” in Proc. of 4th ACM SigComm Conf. on Internet Measurement, pp.135-148, 2004.

    [7] Andrew Moore and Dennis Zuev, “Internet traffic classification using Bayesian analysis techniques,” in Proc. of ACM Sigmetrics Int. Conf. on Measurement and Modeling of Computer Systems, pp.50-60, 2005.

    [8] Tom Auld, Andrew Moore, and Stephen Gull, “Bayesian neural networks for Internet traffic classification,” IEEE Trans. on Neural Networks, vol.18, no.1, pp.223-239, Jan. 2007

    [9] Thomas Karagiannis, Konstantina Papagiannaki, and Michalis Faloutsos, “BLINC: multilevel traffic classification in the dark,” ACM Sigcomm Computer Communications Review, vol.35, no.10, pp.229-240, 2005.

    [10] Laurent Bernaille, Renata Teixeira, Ismael Akodkenou, Augustin Soule, and Kave Salamatian, “Traffic classification on the fly,” ACM Sigcomm Computer Communications Review, vol.36, no.4, pp.23-26, Apr. 2006.

  • Metrics
Share - Bookmark