Field trial of Machine-Learning-assisted and SDN-based Optical Network Planning with Network-Scale Monitoring Database

Shuangyi Yan; Faisal Nadeem Khan; Alex Mavromatis; DImitrios Gkounis; Qirui Fan; Foteini Ntavou; Konstantinos Nikolovgenis; Fanchao Meng; Emilio Hugues Salas; Changjian Guo; Chao Lu; Pak Tao Lau; Reza Nejabati; DImitra Simeonidou

doi:10.1109/ECOC.2017.8346091

Field trial of Machine-Learning-assisted and SDN-based Optical Network Planning with Network-Scale Monitoring Database

Shuangyi Yan, Faisal Nadeem Khan, Alex Mavromatis, DImitrios Gkounis, Qirui Fan, Foteini Ntavou, Konstantinos Nikolovgenis, Fanchao Meng, Emilio Hugues Salas, Changjian Guo, Chao Lu, Pak Tao Lau, Reza Nejabati, DImitra Simeonidou

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

54 Citations (Scopus)

Abstract

An SDN based network planning framework utilizing machine-learning techniques and a network-scale monitoring database is implemented over an optical field-trial testbed comprised of 436.4km fibre. Adaption of the spectral efficiency utilising probabilistic-shaping BVT based on link performance prediction is demonstrated.

Original language	English
Title of host publication	43rd European Conference on Optical Communication, ECOC 2017
Publisher	IEEE
Pages	1-3
Number of pages	3
Volume	2017-September
ISBN (Electronic)	9781538656242
DOIs	https://doi.org/10.1109/ECOC.2017.8346091
Publication status	Published - 21 Sep 2017
Event	43rd European Conference on Optical Communication, ECOC 2017 - Gothenburg, Sweden Duration: 17 Sep 2017 → 21 Sep 2017

Conference

Conference	43rd European Conference on Optical Communication, ECOC 2017
Country	Sweden
City	Gothenburg
Period	17/09/17 → 21/09/17

ASJC Scopus subject areas

Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials

More information

10.1109/ECOC.2017.8346091

Cite this

Yan, S., Khan, F. N., Mavromatis, A., Gkounis, DI., Fan, Q., Ntavou, F., Nikolovgenis, K., Meng, F., Salas, E. H., Guo, C., Lu, C., Lau, P. T., Nejabati, R., & Simeonidou, DI. (2017). Field trial of Machine-Learning-assisted and SDN-based Optical Network Planning with Network-Scale Monitoring Database. In 43rd European Conference on Optical Communication, ECOC 2017 (Vol. 2017-September, pp. 1-3). IEEE. https://doi.org/10.1109/ECOC.2017.8346091

Yan, Shuangyi ; Khan, Faisal Nadeem ; Mavromatis, Alex ; Gkounis, DImitrios ; Fan, Qirui ; Ntavou, Foteini ; Nikolovgenis, Konstantinos ; Meng, Fanchao ; Salas, Emilio Hugues ; Guo, Changjian ; Lu, Chao ; Lau, Pak Tao ; Nejabati, Reza ; Simeonidou, DImitra. / Field trial of Machine-Learning-assisted and SDN-based Optical Network Planning with Network-Scale Monitoring Database. 43rd European Conference on Optical Communication, ECOC 2017. Vol. 2017-September IEEE, 2017. pp. 1-3

@inproceedings{73353e52e585460daeef1175b92d63be,

title = "Field trial of Machine-Learning-assisted and SDN-based Optical Network Planning with Network-Scale Monitoring Database",

abstract = "An SDN based network planning framework utilizing machine-learning techniques and a network-scale monitoring database is implemented over an optical field-trial testbed comprised of 436.4km fibre. Adaption of the spectral efficiency utilising probabilistic-shaping BVT based on link performance prediction is demonstrated.",

author = "Shuangyi Yan and Khan, {Faisal Nadeem} and Alex Mavromatis and DImitrios Gkounis and Qirui Fan and Foteini Ntavou and Konstantinos Nikolovgenis and Fanchao Meng and Salas, {Emilio Hugues} and Changjian Guo and Chao Lu and Lau, {Pak Tao} and Reza Nejabati and DImitra Simeonidou",

year = "2017",

month = sep,

day = "21",

doi = "10.1109/ECOC.2017.8346091",

language = "English",

volume = "2017-September",

pages = "1--3",

booktitle = "43rd European Conference on Optical Communication, ECOC 2017",

publisher = "IEEE",

address = "United States",

note = "43rd European Conference on Optical Communication, ECOC 2017 ; Conference date: 17-09-2017 Through 21-09-2017",

}

Yan, S, Khan, FN, Mavromatis, A, Gkounis, DI, Fan, Q, Ntavou, F, Nikolovgenis, K, Meng, F, Salas, EH, Guo, C, Lu, C , Lau, PT, Nejabati, R & Simeonidou, DI 2017, Field trial of Machine-Learning-assisted and SDN-based Optical Network Planning with Network-Scale Monitoring Database. in 43rd European Conference on Optical Communication, ECOC 2017. vol. 2017-September, IEEE, pp. 1-3, 43rd European Conference on Optical Communication, ECOC 2017, Gothenburg, Sweden, 17/09/17. https://doi.org/10.1109/ECOC.2017.8346091

Field trial of Machine-Learning-assisted and SDN-based Optical Network Planning with Network-Scale Monitoring Database. / Yan, Shuangyi; Khan, Faisal Nadeem; Mavromatis, Alex; Gkounis, DImitrios; Fan, Qirui; Ntavou, Foteini; Nikolovgenis, Konstantinos; Meng, Fanchao; Salas, Emilio Hugues; Guo, Changjian; Lu, Chao ; Lau, Pak Tao; Nejabati, Reza; Simeonidou, DImitra.

43rd European Conference on Optical Communication, ECOC 2017. Vol. 2017-September IEEE, 2017. p. 1-3.

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 Planning with Network-Scale Monitoring Database

AU - Yan, Shuangyi

AU - Khan, Faisal Nadeem

AU - Mavromatis, Alex

AU - Gkounis, DImitrios

AU - Fan, Qirui

AU - Ntavou, Foteini

AU - Nikolovgenis, Konstantinos

AU - Meng, Fanchao

AU - Salas, Emilio Hugues

AU - Guo, Changjian

AU - Lu, Chao

AU - Lau, Pak Tao

AU - Nejabati, Reza

AU - Simeonidou, DImitra

PY - 2017/9/21

Y1 - 2017/9/21

N2 - An SDN based network planning framework utilizing machine-learning techniques and a network-scale monitoring database is implemented over an optical field-trial testbed comprised of 436.4km fibre. Adaption of the spectral efficiency utilising probabilistic-shaping BVT based on link performance prediction is demonstrated.

AB - An SDN based network planning framework utilizing machine-learning techniques and a network-scale monitoring database is implemented over an optical field-trial testbed comprised of 436.4km fibre. Adaption of the spectral efficiency utilising probabilistic-shaping BVT based on link performance prediction is demonstrated.

UR - http://www.scopus.com/inward/record.url?scp=85046942591&partnerID=8YFLogxK

U2 - 10.1109/ECOC.2017.8346091

DO - 10.1109/ECOC.2017.8346091

M3 - Conference article published in proceeding or book

VL - 2017-September

SP - 1

EP - 3

BT - 43rd European Conference on Optical Communication, ECOC 2017

PB - IEEE

T2 - 43rd European Conference on Optical Communication, ECOC 2017

Y2 - 17 September 2017 through 21 September 2017

ER -

Field trial of Machine-Learning-assisted and SDN-based Optical Network Planning with Network-Scale Monitoring Database

Abstract

Conference

ASJC Scopus subject areas

More information

Other files and links

Cite this