Open video datasets over operational mobile networks with MONROE

Abstract

Video streaming is a very popular service among the end-users of Mobile Broadband (MBB) networks. DASH and WebRTC are two key technologies in the delivery of mobile video. In this work, we empirically assess the performance of video streaming with DASH and WebRTC in operational MBB networks, by using a large number of programmable network probes spread over several countries in the context of the MONROE project. We collect a large dataset from more than 300 video streaming experiments. Our dataset consists of network traces, performance indicators captured during the streaming sessions, and experiment metadata. The dataset captures the wide variability in video streaming performance, and unveils how mobile broadband is still not offering consistent quality guarantees across different countries and networks, especially for users on the move. We open source our complete software toolset and provide the video dataset as open data.