RealTime Video Adaptation in Virtualised 5G Networks Video applications are expected to increasingly dominate the traffic of mobile networks in the 5G era, and thus a realtime adaptation of these high resource demanding network applications is crucial in optimising the overall 5G networks. In this manuscript, we leverage Virtual Network Function (VNF) techniques to implement a video adaptation service that automatically adapts the quality of video transmissions depending on the status of the network. Furthermore, Network Function Virtualisation (NFV) techniques are employed here to simplify, optimise and speed up the deployment process of the aforementioned video adapter service (vAdapter), and therefore, allowing its ondemand deployment in a flexible way. We design, implement and test the scheme in a realistic virtualised 5G testbed. Empirical results focus on the scalability evaluation and performance as well as demonstrates a significant bandwidth reduction without compromising the final userxe2x80x99s video quality expectations.

Architectural and Cost Implications of the 5G Edge NFV Systems The recent issued 5G standard promises a comprehensive service provisioning for diverse user demands. The new challenges posed by 5G (e.g. the ultralow latency communication) urge the functionality deployment to offload from network core to edge. Besides, the various requirements of QoS guarantee cast by fastvarying services make the Network Function Virtualization (NFV) an essential enabler of edge network evolution. To date, the performance challenges at the newly created NFVenabled virtual network edge are still unexplored. In this paper, we investigate the converged virtual Radio Access Network (RAN) and Mobile Edge Computing (MEC) in 5G era. We first outline the solo virtual RAN performance. We then characterize the collocate workloads (RAN and MEC, RAN and RAN) on the commercial offtheshelf (COTS) edge platform. Finally, we provide brief cost comparison between traditional RAN and virtual RAN. The implications of the virtual RAN system will benefit future edge NFV design.