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Nowadays, huge volume of traffic is generated and transported over Wide Area Networks (WAN). WAN is composed of multiple transit Autonomous Systems (ASs). Scaling traditional WAN to deal with the new application’s traffic profile and to fulfill the requested Quality of Service (QoS) requirements becomes too expensive and complicated due to physical resource limitations. In view of the above facts, in this paper we propose and implement a Software Defined Network (SDN) based WAN (SD-WAN) platform enabling the development of new generation of routing algorithms (e.g., using operational research or artificial intelligence techniques). The design makes use of several popular open-source projects such as ONOS, Docker, Mininet, Iperf and Quagga for building the emulated SD-WAN topology. We develop an external management and resolver unit with Python that (i) collects periodically useful statistics …