Field trial of machine-learning-assisted and SDN-based optical network management

Shuangyi Yan; Faisal Nadeem Khan; Alex Mavromatis; Qirui Fan; Hilary Frank; Reza Nejabati; Alan Pak Tao Lau; Dimitra Simeonidou

Field trial of machine-learning-assisted and SDN-based optical network management

Shuangyi Yan
, Faisal Nadeem Khan
, Alex Mavromatis
, Qirui Fan
, Hilary Frank
, Reza Nejabati
, Alan Pak Tao Lau
, Dimitra Simeonidou

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

In this paper, we reported machine-learning based network dynamic abstraction over a field-trial testbed. The implemented network-scale NCMDB allows the ML-based quality-of-transmission predictor abstract dynamic link parameters for further network planning.

Original language	English
Title of host publication	Optical Fiber Communication Conference, OFC 2019
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Print)	9781943580538
Publication status	Published - Mar 2019
Event	Optical Fiber Communication Conference, OFC 2019 - San Diego, United States Duration: 3 Mar 2019 → 7 Mar 2019

Publication series

Name	Optics InfoBase Conference Papers
Volume	Part F160-OFC 2019
ISSN (Electronic)	2162-2701

Conference

Conference	Optical Fiber Communication Conference, OFC 2019
Country/Territory	United States
City	San Diego
Period	3/03/19 → 7/03/19

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Cite this

Yan, S., Khan, F. N., Mavromatis, A., Fan, Q., Frank, H., Nejabati, R., Lau, A. P. T., & Simeonidou, D. (2019). Field trial of machine-learning-assisted and SDN-based optical network management. In Optical Fiber Communication Conference, OFC 2019 Article OFC-2019-M2E.1 (Optics InfoBase Conference Papers; Vol. Part F160-OFC 2019). Optica Publishing Group (formerly OSA).

@inproceedings{a05bdbe1f0aa4a06ac0f6a0b60570525,

title = "Field trial of machine-learning-assisted and SDN-based optical network management",

abstract = "In this paper, we reported machine-learning based network dynamic abstraction over a field-trial testbed. The implemented network-scale NCMDB allows the ML-based quality-of-transmission predictor abstract dynamic link parameters for further network planning.",

author = "Shuangyi Yan and Khan, \{Faisal Nadeem\} and Alex Mavromatis and Qirui Fan and Hilary Frank and Reza Nejabati and Lau, \{Alan Pak Tao\} and Dimitra Simeonidou",

note = "Publisher Copyright: {\textcopyright} OSA 2019 {\textcopyright} 2019 The Author(s); Optical Fiber Communication Conference, OFC 2019 ; Conference date: 03-03-2019 Through 07-03-2019",

year = "2019",

month = mar,

language = "English",

isbn = "9781943580538",

series = "Optics InfoBase Conference Papers",

publisher = "Optica Publishing Group (formerly OSA)",

booktitle = "Optical Fiber Communication Conference, OFC 2019",

}

Yan, S, Khan, FN, Mavromatis, A, Fan, Q, Frank, H, Nejabati, R, Lau, APT & Simeonidou, D 2019, Field trial of machine-learning-assisted and SDN-based optical network management. in Optical Fiber Communication Conference, OFC 2019., OFC-2019-M2E.1, Optics InfoBase Conference Papers, vol. Part F160-OFC 2019, Optica Publishing Group (formerly OSA), Optical Fiber Communication Conference, OFC 2019, San Diego, United States, 3/03/19.

Field trial of machine-learning-assisted and SDN-based optical network management. / Yan, Shuangyi; Khan, Faisal Nadeem; Mavromatis, Alex et al.
Optical Fiber Communication Conference, OFC 2019. Optica Publishing Group (formerly OSA), 2019. OFC-2019-M2E.1 (Optics InfoBase Conference Papers; Vol. Part F160-OFC 2019).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Field trial of machine-learning-assisted and SDN-based optical network management

AU - Yan, Shuangyi

AU - Khan, Faisal Nadeem

AU - Mavromatis, Alex

AU - Fan, Qirui

AU - Frank, Hilary

AU - Nejabati, Reza

AU - Lau, Alan Pak Tao

AU - Simeonidou, Dimitra

PY - 2019/3

Y1 - 2019/3

N2 - In this paper, we reported machine-learning based network dynamic abstraction over a field-trial testbed. The implemented network-scale NCMDB allows the ML-based quality-of-transmission predictor abstract dynamic link parameters for further network planning.

AB - In this paper, we reported machine-learning based network dynamic abstraction over a field-trial testbed. The implemented network-scale NCMDB allows the ML-based quality-of-transmission predictor abstract dynamic link parameters for further network planning.

UR - https://www.scopus.com/pages/publications/85085550798

M3 - Conference article published in proceeding or book

AN - SCOPUS:85085550798

SN - 9781943580538

T3 - Optics InfoBase Conference Papers

BT - Optical Fiber Communication Conference, OFC 2019

PB - Optica Publishing Group (formerly OSA)

T2 - Optical Fiber Communication Conference, OFC 2019

Y2 - 3 March 2019 through 7 March 2019

ER -

Field trial of machine-learning-assisted and SDN-based optical network management

Abstract

Publication series

Conference

ASJC Scopus subject areas

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