Skip to main content

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

184Citations
Citations of this article
107Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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. Copyright © 2013 ACM.

Cite

CITATION STYLE

APA

Georgopoulos, P., Elkhatib, Y., Broadbent, M., Mu, M., & Race, N. (2013). Towards network-wide QoE fairness using openflow-assisted adaptive video streaming. In FhMN 2013 - Proceedings of the 2013 ACM SIGCOMM Workshop on Future Human-Centric Multimedia Networking (pp. 15–20). https://doi.org/10.1145/2491172.2491181

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free