We have over 12,000 students, from over 100 countries, within one of the safest campuses in the UK


97% of Lancaster students go into work or further study within six months of graduating

Home > Research > Publications & Outputs > Towards network-wide QoE fairness using openflo...
View graph of relations

« Back

Towards network-wide QoE fairness using openflow-assisted adaptive video streaming

Research output: Contribution in Book/Report/ProceedingsPaper


Publication date08/2013
Host publicationFhMN '13 : Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking
Place of publicationNew York
Number of pages6
ISBN (Print)9781450321839
<mark>Original language</mark>English


Video streaming is an increasingly popular way to consume media content. Adaptive video streaming is an emerging delivery technology which aims to increase user QoE and maximise connection utilisation. Many implementations naively estimate bandwidth from a one-sided client perspective, without taking into account other devices in the network. This behaviour results in unfairness and could potentially lower QoE for all clients. We propose an OpenFlow-assisted QoE Fairness Framework that aims to fairly maximise the QoE of multiple competing clients in a shared network environment. By leveraging a Software Defined Networking technology, such as OpenFlow, we provide a control plane that orchestrates this functionality. The evaluation of our approach in a home networking scenario introduces user-level fairness and network stability, and illustrates the optimisation of QoE across multiple devices in a network.

Bibliographic note

©ACM, 2013. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in FhMN '13 Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking http://dx.doi.org/10.1145/2491172.2491181