01 Jun NESTOR
Measure the quality of video streaming in mobile broadband networks
StreamOwl was selected at the First Open Call of MONROE to conduct a large-scale experiment campaign based on the MONROE platform to evaluate the Quality-of-Experience (QoE) of popular video streaming services (e.g. YouTube and Netflix) with active and passive measurements.
MONROE is designing, building and operating the first open access and flexible hardware-based platform for measurements and custom experimentation on operational MBB networks. It consist of both, fixed and mobile nodes, distributed in 4 countries (Norway, Sweden, Italy and Spain) in 5 main cities in Europe (Oslo, Karlstad, Torino, Pisa and Madrid). The MONROE nodes are constructed to be flexible and powerful enough to run most measurement and experimental tasks. We designed the experiments to provide an accurate assessment of MBB networks characteristics. Furthermore, the MONROE platform provides WiFi connectivity allowing to access different technologies as well as new ways of combining them to increase performance and robustness.
The NESTOR project aims at conducting an experiment campaign based on the MONROE platform to evaluate the Quality-of-Experience (QoE) of popular video streaming services (e.g. YouTube and Netflix) with active and passive measurements. Special emphasis will be given to adaptive video streaming (especially MPEG-DASH) which enables the seamless adaptation of the video client to the specific network conditions of each user and is more relevant to mobile broadband networks. The understanding of the impact of the network parameters and the media content on the human perception are key factors in optimizing the end-to-end delivery chain.
More importantly, the NESTOR project will help create a sustainable experimental platform which will be able to be used after the end of the measurement campaign by third-parties (e.g., operators, video platforms, and network engineers) to test and evaluate the performance of adaptive video streaming services in a seamless, intuitive and unobtrusive manner. Thus, the experiments will assist in benchmarking mobile broadband operators in terms of reliability and in the identification of key performance indicators that could be used to improve their networks.