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

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

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

Citation

Georgopoulos, P., Elkhatib, Y., Broadbent, M., Mu, M., & Race, N. (2013, August). Towards network-wide QoE fairness using openflow-assisted adaptive video streaming. Presented at FhMN '13: 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking, Hong Kong, China

• 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
• DOI: https://doi.org/10.1145/2491172.2491181
• Public URL: http://researchrepository.napier.ac.uk/Output/2843942