Demo: Dynamic adaptive streaming over NDN using explicit congestion feedback
Kazuaki Ueda, Dinh C. Nguyen, Michio Miyamoto, Shin-ichi Aikawa, Yoshiaki Yoshida, Atsushi Tagami · 2017
Many video streaming services employ the dynamic adaptive streaming over HTTP (DASH) technique to achieve better user's QoE. Named-data Networking (NDN) can bring many benefits to the video distribution with in-network cache and stateful forwarding. However, simply applying DASH technique to NDN causes problems. First, in-network cache may affect download time which makes bitrate adaptation a difficult job. Second, various representations of the same video segments can consume cache storage and make caching less efficient. To overcome these problems, cache-friendly bitrate adaptation was proposed in [1] which adopts the bitrate based on the congestion feedback from intermediate routers. In this demonstration, we show the congestion feedback-aware DASH video application. Our contributions are twofold: (1) we customize the NFD to input congestion feedback into a data packet, and (2) we implemented the NDN-plugin for VLC player whose adaptation logic is based on the congestion feedback, and thus it can follow the current network status.