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Publications

  • 2004
    Nadia Ben Azzouna, Fabrice Guillemin

    Experimental analysis of the impact of peer‐to‐peer applications on traffic in commercial IP networks

    European Transactions on Telecommunications, 15: 511-522., 2004

    Résumé

    To evaluate the impact of peer-to-peer (P2P) applications on traffic in wide area networks, we analyze measurements from a high speed IP backbone link carrying TCP traffic towards several ADSL areas. The first observations are that the prevalent part of traffic is due to P2P applications (almost 80% of total traffic) and that the usage of network becomes symmetric in the sense that customers are not only clients but also servers. This latter point is observed by the significant proportion of long flows mainly composed of ACK segments. When analyzing the bit rate created by long flows, it turns out that the TCP connections due to P2P applications have a rather small bit rate and that there is no evidence for long range dependence. These facts are intimately related to the way P2P protocols are running. We separately analyze signaling traffic and data traffic. It turns out that by adopting a suitable level of aggregation, global traffic can be described by means of usual tele-traffic models based on M/G/∞ queues with Weibullian service times.

    Nadia Ben Azzouna, Fabrice Guillemin

    Charcteristic of ip traffic in commercial wide area networks

    Proceedings of the International Conference on Computing, Communcations and Control Technologies (CCCT’2004), Austin, Texas (TX), 2004

    Résumé

    Measurements from an Internet backbone link carrying TCP traf
    f
    ic towards different ADSL areas are analyzed in this paper. For
    traffic analysis, we adopt a flow-based approach and the popular
    mice/elephants dichotomy. The originality of the experimental
    data reported in this paper, when compared with previous mea
    surements from very high speed backbone links, is in that com
    mercial traffic comprises a significant percentage due to peer-to
    peer applications. This kind of traffic exhibits some remarkable
    properties in terms of mice, elephants and bit rates, which are
    thoroughly described in this paper. Mice due to p2p protocols and
    mice due to classical Internet applications such as HTTP, ftp, etc.
    are analyzed separately. It turns out that by adopting a suitable
    level of aggregation, global traffic can be described by means of
    usual tele-traffic models based on M/G/∞ queues with Weibul
    lian service times. The global bit rate can be approximated by the
    superposition of Gaussian processes perturbed by a white noise
    and does not exhibit long range dependence.

    Walid Saddi, Nadia Ben Azzouna, Fabrice Guillemin

    IP Traffic Classification via Blind Source Separation Based on Jacobi Algorithm

    Freire, M.M., Chemouil, P., Lorenz, P., Gravey, A. (eds) Universal Multiservice Networks. ECUMN 2004. Lecture Notes in Computer Science, vol 3262. Springer, Berlin, Heidelberg., 2004

    Résumé

    By distinguishing long and short TCP flows, we address in this paper the problem of efficiently computing the characteristics of long flows. Instead of using time consuming off-line flow classification procedures, we investigate how flow characteristics could directly be inferred from traffic measurements by means of digital signal processing techniques. The proposed approach consists of classifying on the fly packets according to their size in order to construct two signals, one associated with short flows and the other with long flows. Since these two signals have intertwined spectral characteristics, we use a blind source separation technique in order to reconstruct the original spectral densities of short and long flow sources. The method is applied to a real traffic trace captured on a link of the France Telecom IP backbone network and proves efficient to recover the characteristics of long and short flows.

  • Nadia Ben Azzouna, Fabrice Guillemin

    Analysis of ADSL traffic on an IP backbone link

    GLOBECOM'03. IEEE Global Telecommunications Conference (IEEE Cat. No. 03CH37489), 2003

    Résumé

    Measurements from an Internet backbone link carrying TCP traffic towards different ADSL areas are analyzed. For traffic analysis, we adopt a flow based approach and the popular mice/elephants dichotomy, where mice refer to short traffic transfers and elephants to long transfers. The originality of the reported experimental data, when compared with previous measurements from very high speed backbone links, is that the commercial traffic includes a significant part generated by peer-to-peer applications. This kind of traffic exhibits some remarkable properties in terms of mice and elephants, as we describe. It turns out that by adopting a suitable level of aggregation, the bit rate of mice can be described by means of a Gaussian process. The bit rate of elephants is smoother than that of mice and can also be well approximated by a Gaussian process.