Topics: Network tomography; Efficient algorithms for topology discovery, network measurement, etc.
Authors: Riccardo Ravaioli (I3S/CNRS UMR 7271 Sophia Antipolis, France); Guillaume Urvoy-Keller (Universit de Nice Sophia-Antipolis, France); Chadi Barakat (INRIA Sophia Antipolis, France)
Presenter bio:
Riccardo Ravaioli is a PhD student in the I3S/CNRS lab in Sophia Antipolis, France. His
PhD thesis focuses on the detection of traffic differentiation with
active measurements.
Abstract: In the past decade it has been found that many Internet operators offer
worse service to selected user traffic by applying various
differentiation techniques. If from a legal point of view many countries
have discussed and approved laws in favour of Internet neutrality,
confirmation with measuring tools for even an experienced user remains
hard in practice. In this paper we extend and complete our tool ChkDiff,
previously presented for the upstream case, by checking for shaping
also on the user's downstream traffic. After attempting to localize
shapers at the access ISP on upstream traffic, we replay downstream
traffic from a measurement server and analyze per-flow one-way delays
and losses, while taking into account the possibility of multiple paths
between the two endpoints. As opposed to other proposals in the
literature, our methodology does not depend on any specific Internet
application a user might want to test and it is robust to evolving
differentiation techniques at the IP layer. We provide here a detailed
description of the downstream tool and a validation in the wild for
wired, wireless and 3G connections.