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This paper uses Big Data and Machine Learning for the real-time management of Internet scale Qualityof-Service Route Optimisation with an overlay network. Based on the collection of data sampled each 2 minutes over a large number of source-destinations pairs, we show that intercontinental Internet Protocol (IP) paths are far from optimal with respect to Quality of Service (QoS) metrics such as end-to-end round-trip delay. We therefore develop a machine learning based scheme that exploits largedoi:10.1109/jsac.2016.2525518 fatcat:m2y2zo533nemjbtn5r4gzkcsli