Moreover, the poster and demonstration "On the Monitoring of YouTube QoE in Cellular Networks from End-devices" by Michael Seufert, Florian Wamser, Pedro Casas, Ralf Irmer, Phuoc Tran-Gia, Raimund Schatz was accepted for publication at the Wireless of the Students, by the Students, and for the Students Workshop (S3) of MobiCom on September 11, 2015 in Paris, France.



Understanding YouTube QoE in Cellular Networks with YoMoApp - a QoE Monitoring Tool for YouTube Mobile
The performance of YouTube in cellular networks is crucial to network operators, who try to find a trade-off between cost-efficient handling of the huge traffic  amounts and high perceived end-user Quality of Experience (QoE). In this paper we present YoMoApp (YouTube Performance Monitoring Application), an Android  application which passively monitors key performance indicators (KPIs) of YouTube adaptive video streaming on end-user smartphones. The monitored KPIs (i.e., player state/events, re-buffering, and video quality levels) can be used to analyze the QoE of mobile YouTube video sessions. YoMoApp is a valuable tool to assess the performance of cellular networks with respect to YouTube traffic, as well as to develop optimizations and QoE models for mobile HTTP adaptive streaming. We try YoMoApp through real subjective QoE lab tests showing that the tool is accurate to capture the experience of end-users watching YouTube on smartphones.

On the Monitoring of YouTube QoE in Cellular Networks from End-devices
In this demonstration, we present YoMoApp (YouTube Performance Monitoring Application), a passive measurement application for client side monitoring of YouTube video streaming on mobile Android devices. The application uses the YouTube mobile website and the HTML5 API to exactly replicate the well-known YouTube service, which employs HTTP adaptive streaming (HAS) technology based on resolution adaptation. It monitors and stores multiple Key Performance Indicators (KPIs) of the video streaming via the YouTube API (i.e., player state/events, bu.er, and video quality level), which allow to analyze the QoE of adaptive video streaming sessions.