Experience Aware Networking
Experience Aware Networking leverages novel network paradigms (i.e. Software Defined Networking) and the state-of-the-art of Quality of Experience (QoE) research to optimize the experience of users in adaptive media applications. Video is already the #1 traffic source in the Internet and new services are emerging rapidly, such as VR or AR. As a consequence, networks suffer from bottlenecks due too heavy traffic loads, too many users, or a combination of both. Current network resource allocation techniques, such as bitrate-fairness or client-based adaptation algorithms, do not translate in overall user experience optimization. We create QoE-aware models, optimization algorithms, and software prototypes with the aim of understanding how these applications scale and how network resources can be managed to improve the QoE of users.
An SDN Architecture for Privacy-friendly Network Assisted DASH.
ACM Transactions on Multimedia Computing Communications and Applications (ACM TOMM),
Article 44, 22 pages,
Excelence in DASH Award 2nd place (sponsored by the DASH Industry Forum)
Improving Video Quality in Crowded Networks Using a DANE. In Proceedings of the International Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV 2017), New York, NY, USA, 2017, pp. 73-78.
A Model for Evaluating Sharing Policies for Network-Assisted HTTP Adaptive Streaming.
Elsevier Computer Networks Journal (ComNet),
109(part 2): pp. 234-245,
Excelence in DASH Award (sponsored by the DASH Industry Forum)
Delivering Stable High-Quality Video: An SDN Architecture with DASH Assisting Network Elements. In Proceedings of the ACM Multimedia Systems Conference (ACM MMSys 2016), New York, NY, USA, 2016, Article 4, 10 pages.
Modeling Stability and Bitrate of Network-Assisted HTTP Adaptive Streaming Players.
In Proceedings of the 27th International Teletraffic Congress (ITC 27),
Ghent, Belgium, 2015,
- Jan Willem Kleinrouweler, Vrije Universiteit Amsterdam, The Netherlands, expected 2019