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Leveraging SDN to provide an in-network QoE measurement framework

Farshad, Arsham; Georgopoulos, Panagiotis; Broadbent, Matthew; Mu, Mu; Race, Nicholas


Arsham Farshad

Panagiotis Georgopoulos

Matthew Broadbent

Mu Mu

Nicholas Race


Online video streaming using HTTP Adaptive Streaming (HAS) is becoming the most popular content delivery mechanism for media services. Network and content providers would like to ensure a high degree of video Quality of Experience (QoE) for their end-users. However, traditional network-level metrics do not necessarily reflect the end-users' true perception of delivered content.We introduce an in-network QoE measurement framework (IQMF) that provides QoE monitoring for HAS streams as a service. The framework leverages Software Defined Networking for its control plane functionality to streamline non-intrusive quality monitoring and to offer a closed control loop for QoE-aware service management. IQMF adopts two specifically designed QoE metrics to capture the user experience of HAS streams with respect to video fidelity and switching impact. Finally, we used a pan-European SDN testbed to demonstrate how IQMF can be used as a foundation for in-network QoE measurement and service optimisation.

Presentation Conference Type Conference Paper (Published)
Conference Name 2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Start Date Apr 26, 2015
End Date May 1, 2015
Online Publication Date Aug 6, 2015
Publication Date 2015
Deposit Date Mar 10, 2022
Publisher Institute of Electrical and Electronics Engineers
Pages 239-244
Book Title 2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Public URL