Leveraging SDN to provide an in-network QoE measurement framework

Arsham Farshad; Panagiotis Georgopoulos; Matthew Broadbent; Mu Mu; Nicholas Race

doi:10.1109/INFCOMW.2015.7179391

Leveraging SDN to provide an in-network QoE measurement framework

Arsham Farshad, Panagiotis Georgopoulos, Matthew Broadbent, Mu Mu, Nicholas Race

Computing

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

Abstract

Online video streaming using HTTP Adaptive Streaming (HAS) is becoming the most popular content delivery mechanism for media services. Network and content providers would like to ensure a high degree of video Quality of Experience (QoE) for their end-users. However, traditional network-level metrics do not necessarily reflect the end-users' true perception of delivered content.We introduce an in-network QoE measurement framework (IQMF) that provides QoE monitoring for HAS streams as a service. The framework leverages Software Defined Networking for its control plane functionality to streamline non-intrusive quality monitoring and to offer a closed control loop for QoE-aware service management. IQMF adopts two specifically designed QoE metrics to capture the user experience of HAS streams with respect to video fidelity and switching impact. Finally, we used a pan-European SDN testbed to demonstrate how IQMF can be used as a foundation for in-network QoE measurement and service optimisation.

Original language	English
Title of host publication	CNTCV 2015: 2nd workshop on communication & networking techniques for contemporary video 2015
Publisher	IEEE
ISBN (Electronic)	978-1-4673-7131-5
DOIs	https://doi.org/10.1109/INFCOMW.2015.7179391
Publication status	Published - 6 Aug 2015
Event	CNTCV 2015: 2nd Workshop on Communication & Networking Techniques for Contemporary Video 2015 - Hong Kong, China Duration: 26 Apr 2015 → 1 May 2015 https://ieeexplore.ieee.org/document/7179285

Conference

Conference	CNTCV 2015: 2nd Workshop on Communication & Networking Techniques for Contemporary Video 2015
Country/Territory	China
City	Hong Kong
Period	26/04/15 → 1/05/15
Internet address	https://ieeexplore.ieee.org/document/7179285

Bibliographical note

© 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

Keywords

Streaming media
Quality assessment
Video recording
Bit rate
Switches
Monitoring

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Farshad_etal_IEEE_2015_Leveraging_SDN_to_provide_an_in_network_QoE_measurement_frameworkAccepted author manuscript, 1.01 MB

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title = "Leveraging SDN to provide an in-network QoE measurement framework",

abstract = "Online video streaming using HTTP Adaptive Streaming (HAS) is becoming the most popular content delivery mechanism for media services. Network and content providers would like to ensure a high degree of video Quality of Experience (QoE) for their end-users. However, traditional network-level metrics do not necessarily reflect the end-users' true perception of delivered content.We introduce an in-network QoE measurement framework (IQMF) that provides QoE monitoring for HAS streams as a service. The framework leverages Software Defined Networking for its control plane functionality to streamline non-intrusive quality monitoring and to offer a closed control loop for QoE-aware service management. IQMF adopts two specifically designed QoE metrics to capture the user experience of HAS streams with respect to video fidelity and switching impact. Finally, we used a pan-European SDN testbed to demonstrate how IQMF can be used as a foundation for in-network QoE measurement and service optimisation.",

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author = "Arsham Farshad and Panagiotis Georgopoulos and Matthew Broadbent and Mu Mu and Nicholas Race",

note = "{\textcopyright} 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works; CNTCV 2015: 2nd Workshop on Communication & Networking Techniques for Contemporary Video 2015 ; Conference date: 26-04-2015 Through 01-05-2015",

year = "2015",

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doi = "10.1109/INFCOMW.2015.7179391",

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Farshad, A, Georgopoulos, P, Broadbent, M, Mu, M & Race, N 2015, Leveraging SDN to provide an in-network QoE measurement framework. in CNTCV 2015: 2nd workshop on communication & networking techniques for contemporary video 2015. IEEE, CNTCV 2015: 2nd Workshop on Communication & Networking Techniques for Contemporary Video 2015 , Hong Kong, China, 26/04/15. https://doi.org/10.1109/INFCOMW.2015.7179391

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AU - Farshad, Arsham

AU - Georgopoulos, Panagiotis

AU - Broadbent, Matthew

AU - Mu, Mu

AU - Race, Nicholas

N1 - © 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

PY - 2015/8/6

Y1 - 2015/8/6

N2 - Online video streaming using HTTP Adaptive Streaming (HAS) is becoming the most popular content delivery mechanism for media services. Network and content providers would like to ensure a high degree of video Quality of Experience (QoE) for their end-users. However, traditional network-level metrics do not necessarily reflect the end-users' true perception of delivered content.We introduce an in-network QoE measurement framework (IQMF) that provides QoE monitoring for HAS streams as a service. The framework leverages Software Defined Networking for its control plane functionality to streamline non-intrusive quality monitoring and to offer a closed control loop for QoE-aware service management. IQMF adopts two specifically designed QoE metrics to capture the user experience of HAS streams with respect to video fidelity and switching impact. Finally, we used a pan-European SDN testbed to demonstrate how IQMF can be used as a foundation for in-network QoE measurement and service optimisation.

AB - Online video streaming using HTTP Adaptive Streaming (HAS) is becoming the most popular content delivery mechanism for media services. Network and content providers would like to ensure a high degree of video Quality of Experience (QoE) for their end-users. However, traditional network-level metrics do not necessarily reflect the end-users' true perception of delivered content.We introduce an in-network QoE measurement framework (IQMF) that provides QoE monitoring for HAS streams as a service. The framework leverages Software Defined Networking for its control plane functionality to streamline non-intrusive quality monitoring and to offer a closed control loop for QoE-aware service management. IQMF adopts two specifically designed QoE metrics to capture the user experience of HAS streams with respect to video fidelity and switching impact. Finally, we used a pan-European SDN testbed to demonstrate how IQMF can be used as a foundation for in-network QoE measurement and service optimisation.

KW - Streaming media

KW - Quality assessment

KW - Video recording

KW - Bit rate

KW - Switches

KW - Monitoring

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U2 - 10.1109/INFCOMW.2015.7179391

DO - 10.1109/INFCOMW.2015.7179391

M3 - Conference Contribution

BT - CNTCV 2015: 2nd workshop on communication & networking techniques for contemporary video 2015

PB - IEEE

T2 - CNTCV 2015: 2nd Workshop on Communication & Networking Techniques for Contemporary Video 2015

Y2 - 26 April 2015 through 1 May 2015

ER -

Leveraging SDN to provide an in-network QoE measurement framework

Abstract

Conference

Bibliographical note

Keywords

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