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    Rights statement: ©ACM, 2013. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in FhMN '13 Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking http://dx.doi.org/10.1145/2491172.2491181

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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Towards network-wide QoE fairness using openflow-assisted adaptive video streaming. / Georgopoulos, Panagiotis; Elkhatib, Yehia; Broadbent, Matthew et al.
FhMN '13 : Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking. New York: ACM, 2013. p. 15-20.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Georgopoulos, P, Elkhatib, Y, Broadbent, M, Mu, M & Race, N 2013, Towards network-wide QoE fairness using openflow-assisted adaptive video streaming. in FhMN '13 : Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking. ACM, New York, pp. 15-20. https://doi.org/10.1145/2491172.2491181

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 '13 : Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking (pp. 15-20). ACM. https://doi.org/10.1145/2491172.2491181

Vancouver

Georgopoulos P, Elkhatib Y, Broadbent M, Mu M, Race N. Towards network-wide QoE fairness using openflow-assisted adaptive video streaming. In FhMN '13 : Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking. New York: ACM. 2013. p. 15-20 doi: 10.1145/2491172.2491181

Author

Georgopoulos, Panagiotis ; Elkhatib, Yehia ; Broadbent, Matthew et al. / Towards network-wide QoE fairness using openflow-assisted adaptive video streaming. FhMN '13 : Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking. New York : ACM, 2013. pp. 15-20

Bibtex

@inproceedings{c32c83f4e0fb45eb98476fe291d5f07b,
title = "Towards network-wide QoE fairness using openflow-assisted adaptive video streaming",
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.",
keywords = "software defined networking, sdn, Quality of experience, QoE, fairness, computer network management",
author = "Panagiotis Georgopoulos and Yehia Elkhatib and Matthew Broadbent and Mu Mu and Nicholas Race",
note = "{\textcopyright}ACM, 2013. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in FhMN '13 Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking http://dx.doi.org/10.1145/2491172.2491181",
year = "2013",
month = aug,
doi = "10.1145/2491172.2491181",
language = "English",
isbn = "9781450321839",
pages = "15--20",
booktitle = "FhMN '13",
publisher = "ACM",

}

RIS

TY - GEN

T1 - Towards network-wide QoE fairness using openflow-assisted adaptive video streaming

AU - Georgopoulos, Panagiotis

AU - Elkhatib, Yehia

AU - Broadbent, Matthew

AU - Mu, Mu

AU - Race, Nicholas

N1 - ©ACM, 2013. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in FhMN '13 Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking http://dx.doi.org/10.1145/2491172.2491181

PY - 2013/8

Y1 - 2013/8

N2 - 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.

AB - 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.

KW - software defined networking

KW - sdn

KW - Quality of experience

KW - QoE

KW - fairness

KW - computer network management

U2 - 10.1145/2491172.2491181

DO - 10.1145/2491172.2491181

M3 - Conference contribution/Paper

SN - 9781450321839

SP - 15

EP - 20

BT - FhMN '13

PB - ACM

CY - New York

ER -