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

Mu Mu; Arsham Farshad; Steven Simpson; Qiang Ni; Nicholas John Paul Race

doi:10.1109/IWQoS.2015.7404718

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

Mu Mu
, Arsham Farshad
, Steven Simpson
, Qiang Ni
, Nicholas John Paul Race

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

7 Citations (Scopus)

1264 Downloads (Pure)

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.

Original language	English
Title of host publication	2015 IEEE 23rd International Symposium on Quality of Service (IWQoS)
Publisher	IEEE
Pages	85-94
Number of pages	10
ISBN (Print)	97814671131
DOIs	https://doi.org/10.1109/IWQoS.2015.7404718
Publication status	Published - 15/06/2015

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10.1109/IWQoS.2015.7404718

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©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.
Accepted author manuscript, 250 KBLicence: CC BY: Creative Commons Attribution 4.0 International License

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7404718

FP7: FI Content 2: Future media Internet for large-scale CONTENT experimentation 2
Race, N. (Principal Investigator)
European Commission
1/04/13 → 31/03/15
Project: Research

Cite this

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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",

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day = "15",

doi = "10.1109/IWQoS.2015.7404718",

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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 -

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

Abstract

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Projects

FP7: FI Content 2: Future media Internet for large-scale CONTENT experimentation 2

Cite this