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    Rights statement: ©2015 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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User-level fairness delivered: network resource allocation for adaptive video streaming

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

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User-level fairness delivered: network resource allocation for adaptive video streaming. / Mu, Mu; Farshad, Arsham; Simpson, Steven et al.
2015 IEEE 23rd International Symposium on Quality of Service (IWQoS). IEEE, 2015. p. 85-94.

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

Harvard

Mu, M, Farshad, A, Simpson, S, Ni, Q & Race, NJP 2015, User-level fairness delivered: network resource allocation for adaptive video streaming. in 2015 IEEE 23rd International Symposium on Quality of Service (IWQoS). IEEE, pp. 85-94. https://doi.org/10.1109/IWQoS.2015.7404718

APA

Mu, M., Farshad, A., Simpson, S., Ni, Q., & Race, N. J. P. (2015). User-level fairness delivered: network resource allocation for adaptive video streaming. In 2015 IEEE 23rd International Symposium on Quality of Service (IWQoS) (pp. 85-94). IEEE. https://doi.org/10.1109/IWQoS.2015.7404718

Vancouver

Mu M, Farshad A, Simpson S, Ni Q, Race NJP. User-level fairness delivered: network resource allocation for adaptive video streaming. In 2015 IEEE 23rd International Symposium on Quality of Service (IWQoS). IEEE. 2015. p. 85-94 doi: 10.1109/IWQoS.2015.7404718

Author

Mu, Mu ; Farshad, Arsham ; Simpson, Steven et al. / User-level fairness delivered : network resource allocation for adaptive video streaming. 2015 IEEE 23rd International Symposium on Quality of Service (IWQoS). IEEE, 2015. pp. 85-94

Bibtex

@inproceedings{f9f9cd3910124fc2a40d9583fb2163b4,
title = "User-level fairness delivered: network resource allocation for adaptive video streaming",
abstract = "HTTP adaptive streaming (HAS) technology is becoming a popular vehicle for online video delivery. HAS applications often compete for network resources without any coordination between each other in a shared network. This leads to QoE fluctuations and unfairness between end users. This paper introduces UF model which exploits video quality, switching impact and cost efficiency as the fairness metrics to achieve user-level fairness in resource allocation. Experimental results demonstrate how UF model is a foundation to orchestrate the resource consumption of HAS streams. ",
author = "Mu Mu and Arsham Farshad and Steven Simpson and Qiang Ni and Race, {Nicholas John Paul}",
note = "{\textcopyright}2015 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2015",
month = jun,
day = "15",
doi = "10.1109/IWQoS.2015.7404718",
language = "English",
isbn = "97814671131",
pages = "85--94",
booktitle = "2015 IEEE 23rd International Symposium on Quality of Service (IWQoS)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - User-level fairness delivered

T2 - network resource allocation for adaptive video streaming

AU - Mu, Mu

AU - Farshad, Arsham

AU - Simpson, Steven

AU - Ni, Qiang

AU - Race, Nicholas John Paul

N1 - ©2015 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2015/6/15

Y1 - 2015/6/15

N2 - HTTP adaptive streaming (HAS) technology is becoming a popular vehicle for online video delivery. HAS applications often compete for network resources without any coordination between each other in a shared network. This leads to QoE fluctuations and unfairness between end users. This paper introduces UF model which exploits video quality, switching impact and cost efficiency as the fairness metrics to achieve user-level fairness in resource allocation. Experimental results demonstrate how UF model is a foundation to orchestrate the resource consumption of HAS streams.

AB - HTTP adaptive streaming (HAS) technology is becoming a popular vehicle for online video delivery. HAS applications often compete for network resources without any coordination between each other in a shared network. This leads to QoE fluctuations and unfairness between end users. This paper introduces UF model which exploits video quality, switching impact and cost efficiency as the fairness metrics to achieve user-level fairness in resource allocation. Experimental results demonstrate how UF model is a foundation to orchestrate the resource consumption of HAS streams.

U2 - 10.1109/IWQoS.2015.7404718

DO - 10.1109/IWQoS.2015.7404718

M3 - Conference contribution/Paper

SN - 97814671131

SP - 85

EP - 94

BT - 2015 IEEE 23rd International Symposium on Quality of Service (IWQoS)

PB - IEEE

ER -