StreamOwl | SQUARE Service Quality monitoring of video streaming in 5G networks with active and passive probes
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Service Quality monitoring of video streaming in 5G networks with active and passive probes

StreamOwl was selected at the Second Open call of Triangle to provide an extension based on the Triangle platform, to evaluate the Quality-of-Experience (QoE) of popular video streaming services (e.g. YouTube, Netflix, Hulu, Amazon video) with active and passive measurements. Special emphasis will be given to adaptive video streaming (especially MPEG-DASH and Apple HLS) which enables the seamless adaptation of the video client to the specific network conditions of each user and is more relevant to mobile networks.

The Triangle project is building a framework to help app developers and device manufacturers in the evolving 5G sector to test and benchmark new mobile applications in Europe utilising existing and extended FIRE testbeds. This framework will evaluate Quality of Experience and enable certification for new mobile applications and devices.

The developed extension by StreamOwl aims at integrating the StreamOwl OTT probe with the infrastructure and tools of the Triangle project. The StreamOwl probe monitors the internet traffic in a passive and/or active and unobtrusive way by processing the network packets and the video and evaluating the impact of service parameters and technical KPIs (e.g. video bitrate, network degradations, type of service, etc.) on the perceived user quality, based on the ITU-T Rec. P.1203, the international standard for quality assessment in IP-based applications for adaptive video streaming.
Therefore, the proposed extension will provide the opportunity for third parties, which plan to use the Triangle testbed and propose new solutions for 5G networks, to evaluate the QoE for a variety of video streaming services and video formats and quantify the improvements of their proposed solutions in terms of perceived quality. The diagnostic information that will be provided by the extension will also give them the opportunity to troubleshoot any bottlenecks in network delivery and optimise video transmission.