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

Georgopoulos, Panagiotis; Elkhatib, Yehia; Broadbent, Matthew; Mu, Mu; Race, Nicholas


Panagiotis Georgopoulos

Yehia Elkhatib

Matthew Broadbent

Mu Mu

Nicholas Race


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

Presentation Conference Type Conference Paper (Published)
Conference Name FhMN '13: 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking
Start Date Aug 16, 2013
Online Publication Date Aug 16, 2013
Publication Date 2013-08
Deposit Date Mar 11, 2022
Publisher Association for Computing Machinery (ACM)
Pages 15-20
Book Title FhMN '13: Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking
ISBN 978-1-4503-2183-9
Public URL