Alias resolution techniques (e.g., Midar) associate, mostly through active measurement, a set of IP addresses as belonging to a common router. These techniques rely on distinct router features that can serve as a signature. Their applicability is affected by router support of the features and the robustness of the signature. This paper presents a new alias resolution tool called Limited Ltd. that exploits ICMP rate limiting, a feature that is increasingly supported by modern routers that has not previously been used for alias resolution. It sends ICMP probes toward target interfaces in order to trigger rate limiting, extracting features from the probe reply loss traces. It uses a machine learning classifier to designate pairs of interfaces as aliases. We describe the details of the algorithm used by Limited Ltd. and illustrate its feasibility and accuracy. Limited Ltd. not only is the first tool that can perform alias resolution on IPv6 routers that do not generate monotonically increasing fragmentation IDs (e.g., Juniper routers) but it also complements the state-of-the-art techniques for IPv4 alias resolution. All of our code and the collected dataset are publicly available.
No abstract
We describe the deployment of an Internet measurement experiment to three testbeds that offer Linux containers hosted at widely distributed vantage points: the well-established PlanetLab Central and PlanetLab Europe platforms, and the new EdgeNet platform. The experiment results were published in the proceedings of ACM IMC 2018. We compare the capabilities of each testbed and their effect on the ease of deployment of the experiment. Because the software for this experiment has several library dependencies and requires a recent compiler, it was easiest to deploy on EdgeNet, which is based on Docker and Kubernetes. This extended abstract is accompanied by a demonstration of the reproducible deployment of a measurement tool on EdgeNet.
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