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REF: Enabling Rapid Experimentation of Contextual Network Traffic Management using Software Defined Networking

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REF: Enabling Rapid Experimentation of Contextual Network Traffic Management using Software Defined Networking. / Fawcett, Lyndon; Mu, Mu; Hareng, Bruno; Race, Nicholas John Paul.

In: IEEE Communications Magazine, Vol. 55, No. 7, 07.2017, p. 144-150.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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@article{3ccfcc2fb35f4f14b56493724ead0fad,
title = "REF: Enabling Rapid Experimentation of Contextual Network Traffic Management using Software Defined Networking",
abstract = "Online video streaming is becoming a key consumer of future networks, generating high throughput and highly dynamic traffic from large numbers of heterogeneous user devices. This places significant pressure on the underlying networks and can lead to a deterioration in performance, efficiency and fairness. To address this issue, future networks must incorporate contextual network designs that recognise application and user-level requirements. However, designs of new network traffic management components such as resource provisioning models are often tested within simulation environments which lack subtleties in how network equipment behaves in practice. This paper contributes the design and operational guidelines for a Software Defined Networking (SDN) experimentation framework (REF), which enables rapid evaluation of contextual networking designs using real network infrastructures. Two use case studies of a Quality of Experience (QoE)-aware resource allocation model, and a network-aware dynamic ACL demonstrate the effectiveness of REF in facilitating the design and validation of SDN-assisted networking.",
keywords = "Software Defined Networking (SDN), Network automation, Experimentation, Fog computing, Quality of Experience (QoE)",
author = "Lyndon Fawcett and Mu Mu and Bruno Hareng and Race, {Nicholas John Paul}",
note = "{\textcopyright}2017 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 = "2017",
month = jul,
doi = "10.1109/MCOM.2017.1600507",
language = "English",
volume = "55",
pages = "144--150",
journal = "IEEE Communications Magazine",
issn = "0163-6804",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "7",

}

RIS

TY - JOUR

T1 - REF: Enabling Rapid Experimentation of Contextual Network Traffic Management using Software Defined Networking

AU - Fawcett, Lyndon

AU - Mu, Mu

AU - Hareng, Bruno

AU - Race, Nicholas John Paul

N1 - ©2017 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 - 2017/7

Y1 - 2017/7

N2 - Online video streaming is becoming a key consumer of future networks, generating high throughput and highly dynamic traffic from large numbers of heterogeneous user devices. This places significant pressure on the underlying networks and can lead to a deterioration in performance, efficiency and fairness. To address this issue, future networks must incorporate contextual network designs that recognise application and user-level requirements. However, designs of new network traffic management components such as resource provisioning models are often tested within simulation environments which lack subtleties in how network equipment behaves in practice. This paper contributes the design and operational guidelines for a Software Defined Networking (SDN) experimentation framework (REF), which enables rapid evaluation of contextual networking designs using real network infrastructures. Two use case studies of a Quality of Experience (QoE)-aware resource allocation model, and a network-aware dynamic ACL demonstrate the effectiveness of REF in facilitating the design and validation of SDN-assisted networking.

AB - Online video streaming is becoming a key consumer of future networks, generating high throughput and highly dynamic traffic from large numbers of heterogeneous user devices. This places significant pressure on the underlying networks and can lead to a deterioration in performance, efficiency and fairness. To address this issue, future networks must incorporate contextual network designs that recognise application and user-level requirements. However, designs of new network traffic management components such as resource provisioning models are often tested within simulation environments which lack subtleties in how network equipment behaves in practice. This paper contributes the design and operational guidelines for a Software Defined Networking (SDN) experimentation framework (REF), which enables rapid evaluation of contextual networking designs using real network infrastructures. Two use case studies of a Quality of Experience (QoE)-aware resource allocation model, and a network-aware dynamic ACL demonstrate the effectiveness of REF in facilitating the design and validation of SDN-assisted networking.

KW - Software Defined Networking (SDN)

KW - Network automation

KW - Experimentation

KW - Fog computing

KW - Quality of Experience (QoE)

U2 - 10.1109/MCOM.2017.1600507

DO - 10.1109/MCOM.2017.1600507

M3 - Journal article

VL - 55

SP - 144

EP - 150

JO - IEEE Communications Magazine

JF - IEEE Communications Magazine

SN - 0163-6804

IS - 7

ER -