End-to-end Detection of ISP Traffic Shaping using Active and Passive Methods
نویسندگان
چکیده
We present end-to-end measurement methods for the detection of traffic shaping. Traffic shaping is typically implemented using token buckets, allowing a maximum burst of traffic to be serviced at the peak capacity of the link, while any remaining traffic is serviced at a lower shaping rate. The contribution of this paper is threefold. First, we develop an active end-to-end detection mechanism, referred to as ShaperProbe, that can infer whether a particular path is subject to traffic shaping, and in that case, estimate the shaper characteristics. Second, we analyze results from a large-scale deployment of ShaperProbe on M-Lab over the last few months, detecting traffic shaping in several major ISPs. Our deployment has received more than one million users so far from 5,700 ISPs. Third, we modify the ShaperProbe detection algorithm so that it can be applied passively on the traffic of any TCP-based application. We apply this passive method in NDT traces, also collected at M-Lab. Our work is the first to design detection methodologies and to measure traffic shaping deployments in the Internet.
منابع مشابه
End-to-end Methods for Traffic Shaping Detection, Performance Problem Diagnosis, Home Wireless Troubleshooting
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