StreamOwl | adaptive video streaming with software defined networking
SDN, MPEG-DASH, video streaming, Quality-of-Experience
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Adaptive Video streaming with Software Defined Networking

StreamOwl was selected at the Second Open Call of SoftFIRE to conduct an experiment based on the SoftFIRE infrastructure to highlight the QoE improvements by a cross-layer end-to-end approach for video streaming.

SoftFIRE focuses on NFV/SDN aiming at creating a secure, interoperable and programmable experimental infrastructure within FIRE+. The Project is federating experimental testbeds that will result  in an infrastructure that Third Parties can use to develop new services and applications. The federation is a fundamental step towards the creation of a network experimental infrastructure that anticipates 5G.

At the network layer, Software Defined Networking (SDN) enables the virtualization of the network functions so that the network operators implement their own rules and policies in software and deploy them in an abstracted and virtualized network infrastructure. At the application layer, the Dynamic Adaptive Streaming over HTTP (MPEG-DASH) approach enables the seamless adaptation of the video client to the specific network conditions of each user. The understanding of the impact of the network parameters and the media content on the human perception are key factors in optimizing the functions in the end-to-end delivery chain. The AVISSOS project will propose a novel video streaming platform, which takes into account the service utility functions, network topology, link capacities and the specific QoE requirements of each application. The experiment will be deployed on the federated testbeds by exploiting the existing equipment and it will enable the benchmarking with traditional technologies and the quantification of improvements in terms of perceived quality.