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SDQ: Enabling rapid QoE experimentation using Software Defined Networking

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

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SDQ : Enabling rapid QoE experimentation using Software Defined Networking. / Fawcett, Lyndon; Mu, Mu; Broadbent, Matthew Harold; Hart, Nicholas Peter; Race, Nicholas John Paul.

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). Lisbon, Portugal : IEEE, 2017.

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

Harvard

Fawcett, L, Mu, M, Broadbent, MH, Hart, NP & Race, NJP 2017, SDQ: Enabling rapid QoE experimentation using Software Defined Networking. in 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). IEEE, Lisbon, Portugal. https://doi.org/10.23919/INM.2017.7987353

APA

Vancouver

Fawcett L, Mu M, Broadbent MH, Hart NP, Race NJP. SDQ: Enabling rapid QoE experimentation using Software Defined Networking. In 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). Lisbon, Portugal: IEEE. 2017 https://doi.org/10.23919/INM.2017.7987353

Author

Fawcett, Lyndon ; Mu, Mu ; Broadbent, Matthew Harold ; Hart, Nicholas Peter ; Race, Nicholas John Paul. / SDQ : Enabling rapid QoE experimentation using Software Defined Networking. 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). Lisbon, Portugal : IEEE, 2017.

Bibtex

@inproceedings{aae1fb5dbd114f8d9bb25cda21673e3e,
title = "SDQ: Enabling rapid QoE experimentation using Software Defined Networking",
abstract = "The emerging network paradigm of Software Defined Networking (SDN) has been increasingly adopted to improve the Quality of Experiences (QoE) across multiple HTTP adaptive streaming (HAS) instances. However, there is currently a gap between research and reality in this field. QoE models, which offer user-level context to network management processes, are often tested in a simulation environment. Such environments do not consider the effects that network protocols, client programs, and other real world factors may have on the outcomes. Ultimately, this can lead to models not functioning as expected in real networks. On the other hand, setting up an experiment that reflects reality is a time consuming process requiring expert knowledge. This paper shares designs and guidelines of an SDN experimentation framework (SDQ), which offers rapid evaluation of QoE models using real network infrastructures.",
author = "Lyndon Fawcett and Mu Mu and Broadbent, {Matthew Harold} and Hart, {Nicholas Peter} and Race, {Nicholas John Paul}",
year = "2017",
month = jul,
day = "24",
doi = "10.23919/INM.2017.7987353",
language = "English",
booktitle = "2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - SDQ

T2 - Enabling rapid QoE experimentation using Software Defined Networking

AU - Fawcett, Lyndon

AU - Mu, Mu

AU - Broadbent, Matthew Harold

AU - Hart, Nicholas Peter

AU - Race, Nicholas John Paul

PY - 2017/7/24

Y1 - 2017/7/24

N2 - The emerging network paradigm of Software Defined Networking (SDN) has been increasingly adopted to improve the Quality of Experiences (QoE) across multiple HTTP adaptive streaming (HAS) instances. However, there is currently a gap between research and reality in this field. QoE models, which offer user-level context to network management processes, are often tested in a simulation environment. Such environments do not consider the effects that network protocols, client programs, and other real world factors may have on the outcomes. Ultimately, this can lead to models not functioning as expected in real networks. On the other hand, setting up an experiment that reflects reality is a time consuming process requiring expert knowledge. This paper shares designs and guidelines of an SDN experimentation framework (SDQ), which offers rapid evaluation of QoE models using real network infrastructures.

AB - The emerging network paradigm of Software Defined Networking (SDN) has been increasingly adopted to improve the Quality of Experiences (QoE) across multiple HTTP adaptive streaming (HAS) instances. However, there is currently a gap between research and reality in this field. QoE models, which offer user-level context to network management processes, are often tested in a simulation environment. Such environments do not consider the effects that network protocols, client programs, and other real world factors may have on the outcomes. Ultimately, this can lead to models not functioning as expected in real networks. On the other hand, setting up an experiment that reflects reality is a time consuming process requiring expert knowledge. This paper shares designs and guidelines of an SDN experimentation framework (SDQ), which offers rapid evaluation of QoE models using real network infrastructures.

U2 - 10.23919/INM.2017.7987353

DO - 10.23919/INM.2017.7987353

M3 - Conference contribution/Paper

BT - 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)

PB - IEEE

CY - Lisbon, Portugal

ER -