A DASH-based performance-oriented Adaptive Video distribution solution

Nowadays increasing amounts of video-based content is stored and distributed across networks for diverse use, including learning. These networks also carry multiple other traffic types, all of which are growing in intensity. In the context of limited bandwidth resource networks, content adaptation and in particular video adaptation is seen as a very promising solution. As the newly introduced Dynamic Adaptive Streaming over HTTP (DASH) standard supports video adaptation, but does not introduce any adaptation mechanism, this paper proposes a DASH-based performance oriented Adaptive Video distribution solution (DAV) which improves video delivery mechanism to ensure better viewing experience. DAV´s goal is to increase user Quality of Experience (QoE) by considering various factors, including characteristics of the links connecting video providers and the local network, quantity of requested content available locally, and device and user profiles. This solution dynamically selects best performing sources (among remote hosts and local nodes) for the delivery of video segments. Preliminary evaluation shows that DAV increases the quality of delivered video in comparison with a classic DASH video distribution approach.