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

Georgopoulos, Panagiotis and Elkhatib, Yehia and Broadbent, Matthew and Mu, Mu and Race, Nicholas (2013) Towards network-wide QoE fairness using openflow-assisted adaptive video streaming. In: FhMN '13. ACM, New York, pp. 15-20. ISBN 9781450321839

PDF (Paper)
Paper.pdf - Accepted Version
Available under License Creative Commons Attribution.

Download (545kB)


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.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
©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
ID Code:
Deposited By:
Deposited On:
07 May 2013 14:22
Last Modified:
27 May 2023 23:29