Enhancing Mobile Video Delivery over an Heterogeneous Network Access with Information-Centric Networking

Mobile video delivery drives Internet traffic evolution and puts colossal pressure on future 5G networks to support higher quality and lower latency requirements over an increasingly heterogeneous network access. Future Internet paradigms recentering communication around content, such as Information Centric Networks (ICN), appear as promising candidates to relieve the challenges of a mobility-robust, efficient and cost-effective video delivery, by integrating video-awareness at network layer. In this demo, we focus on ICN-enabled Dynamic Adaptive Streaming (DAS) over an heterogeneous wireless access. We integrate ICN capabilities in DAS clients requesting 4K video content to standard DAS servers. We deploy a virtualized ICN-enabled network slice using LXC containers to connect clients to servers through an heterogeneous wireless access (802.11n and LTE emulated radios) and a simplified backhaul. The contribution of the demo is twofold. First it showcases what ICN can bring to DAS over a mobile heterogeneous access in virtue of its content-awareness at network layer. Second, it offers to the user a rich sandbox where several state-of-the-art DAS controllers are implemented and can be tested over ICN or standard TCP.

[1]  Giovanna Carofiglio,et al.  Leveraging ICN In-network Control for Loss Detection and Recovery in Wireless Mobile networks , 2016, ICN.

[2]  Christian Timmerer,et al.  Adaptive multimedia streaming in information-centric networks , 2014, IEEE Network.

[3]  Cisco Visual Networking Index: Forecast and Methodology 2016-2021.(2017) http://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual- networking-index-vni/complete-white-paper-c11-481360.html. High Efficiency Video Coding (HEVC) Algorithms and Architectures https://jvet.hhi.fraunhofer. , 2017 .

[4]  Christian Timmerer,et al.  An experimental analysis of Dynamic Adaptive Streaming over HTTP in Content Centric Networks , 2013, 2013 IEEE International Conference on Multimedia and Expo (ICME).

[5]  Ramesh K. Sitaraman,et al.  BOLA: Near-Optimal Bitrate Adaptation for Online Videos , 2016, IEEE/ACM Transactions on Networking.

[6]  Ali C. Begen,et al.  Probe and Adapt: Rate Adaptation for HTTP Video Streaming At Scale , 2013, IEEE Journal on Selected Areas in Communications.

[7]  Nikos Fotiou,et al.  A Survey of Information-Centric Networking Research , 2014, IEEE Communications Surveys & Tutorials.

[8]  Massimo Gallo,et al.  Joint hop-by-hop and receiver-driven interest control protocol for content-centric networks , 2012, CCRV.

[9]  Te-Yuan Huang,et al.  A buffer-based approach to rate adaptation: evidence from a large video streaming service , 2015, SIGCOMM 2015.

[10]  Massimo Gallo,et al.  Optimal multipath congestion control and request forwarding in Information-Centric Networks , 2013, 2013 21st IEEE International Conference on Network Protocols (ICNP).

[11]  Hermann Hellwagner,et al.  Investigating the Performance of Pull-Based Dynamic Adaptive Streaming in NDN , 2016, IEEE Journal on Selected Areas in Communications.