Language / 言語

This seminar will be held in English only. / 今回のセミナーは英語での進行となります。

Speaker

Patrice Abry (ENS de Lyon/CNRS)

Summary

It is now well accepted that aggregated packet or byte count time series in Internet traffic are well modeled with scale-free temporal dynamics, often accounted for by self-similarity processes, such as fractional Brownian motion. The corresponding scaling exponent has been theoretically and practically related to the heavy-tail behaviors of the « objects » transferred on the Internet. However, it remains an open and controversial question to decide whether self-similarity is better measured on packet or byte count time series, or on both, with or without the same scaling exponents. To address such issues we aim to explain how and why multivariate similarity analysis permits a better understanding on Internet traffic scale-free dynamics. For instance bivariate similarity that analyzes jointly Bytes and packet time series, as opposed to 2 univariate analysis of byte and packet time series independently, offers a better characterization of scale-free dynamics in Internet traffic.

Combining the use of random projections (or hashing procedures) to ensure a characterization of background traffic robust to anomalies of all sorts, and multivariate multiscale (wavelet) analysis, we detail a methodology for the robust characterization of 2-variate (Byte, Packet) or 4-variate (Byte, Packet, outoing, ingoing) selfsimilarity in Internet trafic and to uncover rich scale-free dynamics. It will also be illustrated M-variate self-similarity analysis provide practitioners with multiscale functions of interest for anomaly detection.

Date and Time

• 2018-2-27 (Tue) 18:00 (The registration desk opens at 17:45)

Place

• Internet Initiative Japan Inc. 13F Opera2 room
• Iidabashi Grand-Bloom 2-10-2 Fujimi, Chiyoda-ku, Tokyo 102－0071
• http://www.iij.ad.jp/en/company/about/map/head-office.html

Read before comming

Registration

• Registration is required to enter the office floor of the building. A registration desk for the seminar participants will be located on the second floor of the building. Please state your name to the staff and receive a visitor card key.
• The registration desk will be opening around 15 minutes before the seminar starts.
• If you've arrived at the building after the registration desk has closed, please call the phone number printed on the signboard at the registration desk.

Leaving

• We will collect your visitor card key before you leave the meeting room. Please hand your key to the staff standing by the room exit.