Towards network-wide QoE fairness using openflow-assisted adaptive video streaming

Video streaming is an increasingly popular way to consume media content. Adaptive video streaming is an emerging de-livery technology which aims to increase user QoE and max-imise connection utilisation. Many implementations naively estimate bandwidth from a one-sided client perspective, with-out taking into account other devices in the network. This behaviour results in unfairness and could potentially lower QoE for all clients. We propose an OpenFlow-assisted QoE Fairness Framework that aims to fairly maximise the QoE of multiple competing clients in a shared network environ-ment. By leveraging a Software Defined Networking tech-nology, such as OpenFlow, we provide a control plane that orchestrates this functionality. The evaluation of our ap-proach in a home networking scenario introduces user-level fairness and network stability, and illustrates the optimisa-tion of QoE across multiple devices in a network