Adaptive SDN-based architecture using QoE metrics in live video streaming on Cloud Mobile Media

Abstract

The increasing adoption of smart phones, the increased access to mobile broadband networks and the availability of public cloud infrastructures are aligning to the next generation of truly ubiquitous multimedia services, known as Cloud Mobile Media (CMM) services. Nevertheless, due to an inherit higher and variable end to end delay mainly as a result of the virtualization process, new challenges appear in particular for live video streaming applications in order to keep a good Quality of Experience of the delivered video. Thus, to keep client's satisfaction at good levels in terms of Mean Opinion Score (MOS), we propose an adaptive Software Defined Networking (SDN)-based architecture running on CMM. We estimate MOS using an statistical method based on Factor Analysis (FA) and then the SDN controller is able to schedule different actions. The MOS estimation is based on different measured variables throughout the CMM infrastructure. Finally, we compare the accuracy of the estimated MOS against well known publicly available video quality algorithms as well as we propose an algorithm to run at the SDN controller to meet these requirements.