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Leveraging SDN to provide an in-network QoE measurement framework

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

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Leveraging SDN to provide an in-network QoE measurement framework. / Farshad, Arsham; Georgopoulos, Panagiotis; Broadbent, Matthew; Mu, Mu; Race, Nicholas.

Computer Communications Workshops (INFOCOM WKSHPS), 2015 IEEE Conference on. IEEE, 2015. p. 239-244.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Farshad, A, Georgopoulos, P, Broadbent, M, Mu, M & Race, N 2015, Leveraging SDN to provide an in-network QoE measurement framework. in Computer Communications Workshops (INFOCOM WKSHPS), 2015 IEEE Conference on. IEEE, pp. 239-244, 2nd Workshop on Communication and Networking Techniques for Contemporary Video (CNTCV), INFOCOM 2015, Hong Kong, 27/04/15. https://doi.org/10.1109/INFCOMW.2015.7179391

APA

Farshad, A., Georgopoulos, P., Broadbent, M., Mu, M., & Race, N. (2015). Leveraging SDN to provide an in-network QoE measurement framework. In Computer Communications Workshops (INFOCOM WKSHPS), 2015 IEEE Conference on (pp. 239-244). IEEE. https://doi.org/10.1109/INFCOMW.2015.7179391

Vancouver

Farshad A, Georgopoulos P, Broadbent M, Mu M, Race N. Leveraging SDN to provide an in-network QoE measurement framework. In Computer Communications Workshops (INFOCOM WKSHPS), 2015 IEEE Conference on. IEEE. 2015. p. 239-244 https://doi.org/10.1109/INFCOMW.2015.7179391

Author

Farshad, Arsham ; Georgopoulos, Panagiotis ; Broadbent, Matthew ; Mu, Mu ; Race, Nicholas. / Leveraging SDN to provide an in-network QoE measurement framework. Computer Communications Workshops (INFOCOM WKSHPS), 2015 IEEE Conference on. IEEE, 2015. pp. 239-244

Bibtex

@inproceedings{0834f3b8ba4041e9ac0465da6512507b,
title = "Leveraging SDN to provide an in-network QoE measurement framework",
abstract = "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 demonstratehow IQMF can be used as a foundation for in-network QoE measurement and service optimisation.",
author = "Arsham Farshad and Panagiotis Georgopoulos and Matthew Broadbent and Mu Mu and Nicholas Race",
year = "2015",
doi = "10.1109/INFCOMW.2015.7179391",
language = "English",
pages = "239--244",
booktitle = "Computer Communications Workshops (INFOCOM WKSHPS), 2015 IEEE Conference on",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Leveraging SDN to provide an in-network QoE measurement framework

AU - Farshad, Arsham

AU - Georgopoulos, Panagiotis

AU - Broadbent, Matthew

AU - Mu, Mu

AU - Race, Nicholas

PY - 2015

Y1 - 2015

N2 - 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 demonstratehow IQMF can be used as a foundation for in-network QoE measurement and service optimisation.

AB - 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 demonstratehow IQMF can be used as a foundation for in-network QoE measurement and service optimisation.

U2 - 10.1109/INFCOMW.2015.7179391

DO - 10.1109/INFCOMW.2015.7179391

M3 - Conference contribution/Paper

SP - 239

EP - 244

BT - Computer Communications Workshops (INFOCOM WKSHPS), 2015 IEEE Conference on

PB - IEEE

ER -