SDQ: enabling rapid QoE experimentation using Software Defined Networking

Lyndon Fawcett; Mu Mu; Matthew Broadbent; Nicholas Hart; Nicholas Race

SDQ: enabling rapid QoE experimentation using Software Defined Networking

Lyndon Fawcett, Mu Mu, Matthew Broadbent, Nicholas Hart, Nicholas Race

Research output: Contribution to Book/Report › Chapter › peer-review

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.

Original language	English
Title of host publication	IFIP/IEEE International Symposium on Integrated Network Management
Place of Publication	New York
Publisher	IEEE
Publication status	Accepted/In press - 11 Nov 2016

Keywords

Quality of Experience
Software Defined Networking
adaptive streaming
experimentation

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Fawcett20168977Accepted author manuscript, 0 bytes

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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.",

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TY - CHAP

T1 - SDQ: enabling rapid QoE experimentation using Software Defined Networking

AU - Fawcett, Lyndon

AU - Mu, Mu

AU - Broadbent, Matthew

AU - Hart, Nicholas

AU - Race, Nicholas

PY - 2016/11/11

Y1 - 2016/11/11

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.

KW - Quality of Experience

KW - Software Defined Networking

KW - adaptive streaming

KW - experimentation

M3 - Chapter

BT - IFIP/IEEE International Symposium on Integrated Network Management

PB - IEEE

CY - New York

ER -

SDQ: enabling rapid QoE experimentation using Software Defined Networking

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Keywords

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