Field-Trial Demonstration of ML Deployment in Optical Networks Using Telemetry and AI Engine

Sen Shen; Ruizhi Yang; Haiyuan Li; Yiran Teng; Rui Wang; Reza Nejabati; Shuangyi Yan; Dimitra Simeonidou

doi:10.1049/icp.2023.2458

Field-Trial Demonstration of ML Deployment in Optical Networks Using Telemetry and AI Engine

Sen Shen, Ruizhi Yang, Haiyuan Li, Yiran Teng, Rui Wang, Reza Nejabati, Shuangyi Yan, Dimitra Simeonidou

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

1 Citation (Scopus)

45 Downloads (Pure)

Abstract

We present an AI engine built on OpenFaas utilizing distributed databases and network telemetry to monitor and manage multiple ML models. Two use cases of ML applications in optical networks are demonstrated over the field-trial testbed, showcasing the feasibility and scalability of the proposed scheme.

Original language	English
Title of host publication	49th European Conference on Optical Communications (ECOC 2023)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1126-1129
Number of pages	4
Volume	2023
Edition	34
ISBN (Electronic)	9781839539268
DOIs	https://doi.org/10.1049/icp.2023.2458
Publication status	Published - 28 Mar 2024
Event	49th European Conference on Optical Communications (ECOC 2023) - SEC, Glasgow, United Kingdom Duration: 1 Oct 2023 → 5 Oct 2023 Conference number: 49 https://ecoc2023.theiet.org/

Publication series

Name	European Conference on Optical Communication
Publisher	IEEE
ISSN (Print)	2688-2531
ISSN (Electronic)	2688-254X

Conference

Conference	49th European Conference on Optical Communications (ECOC 2023)
Abbreviated title	ECOC
Country/Territory	United Kingdom
City	Glasgow
Period	1/10/23 → 5/10/23
Internet address	https://ecoc2023.theiet.org/

Bibliographical note

Publisher Copyright:
© The Institution of Engineering & Technology 2023.

Research Groups and Themes

Smart Internet Lab

Access to Document

10.1049/icp.2023.2458

Full-text PDF (author accepted manuscript)
This is the accepted author manuscript (AAM). The final published version (Version of Record) can be found on the publisher's website. The copyright of any third-party content, such as images, remains with the copyright holder.
Accepted author manuscript, 702 KB

Handle.net

Persistent link

Cite this

Shen, S., Yang, R., Li, H., Teng, Y., Wang, R., Nejabati, R., Yan, S., & Simeonidou, D. (2024). Field-Trial Demonstration of ML Deployment in Optical Networks Using Telemetry and AI Engine. In 49th European Conference on Optical Communications (ECOC 2023) (34 ed., Vol. 2023, pp. 1126-1129). (European Conference on Optical Communication). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1049/icp.2023.2458

@inproceedings{3d94e49d1a7a4b3ab91cc97489626e50,

title = "Field-Trial Demonstration of ML Deployment in Optical Networks Using Telemetry and AI Engine",

abstract = "We present an AI engine built on OpenFaas utilizing distributed databases and network telemetry to monitor and manage multiple ML models. Two use cases of ML applications in optical networks are demonstrated over the field-trial testbed, showcasing the feasibility and scalability of the proposed scheme.",

author = "Sen Shen and Ruizhi Yang and Haiyuan Li and Yiran Teng and Rui Wang and Reza Nejabati and Shuangyi Yan and Dimitra Simeonidou",

note = "Publisher Copyright: {\textcopyright} The Institution of Engineering & Technology 2023.; 49th European Conference on Optical Communications (ECOC 2023), ECOC ; Conference date: 01-10-2023 Through 05-10-2023",

year = "2024",

month = mar,

day = "28",

doi = "10.1049/icp.2023.2458",

language = "English",

volume = "2023",

series = "European Conference on Optical Communication",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

pages = "1126--1129",

booktitle = "49th European Conference on Optical Communications (ECOC 2023)",

address = "United States",

edition = "34",

url = "https://ecoc2023.theiet.org/",

}

Shen, S , Yang, R, Li, H, Teng, Y , Wang, R, Nejabati, R, Yan, S & Simeonidou, D 2024, Field-Trial Demonstration of ML Deployment in Optical Networks Using Telemetry and AI Engine. in 49th European Conference on Optical Communications (ECOC 2023). 34 edn, vol. 2023, European Conference on Optical Communication, Institute of Electrical and Electronics Engineers (IEEE), pp. 1126-1129, 49th European Conference on Optical Communications (ECOC 2023), Glasgow, United Kingdom, 1/10/23. https://doi.org/10.1049/icp.2023.2458

Field-Trial Demonstration of ML Deployment in Optical Networks Using Telemetry and AI Engine. / Shen, Sen ; Yang, Ruizhi; Li, Haiyuan et al.
49th European Conference on Optical Communications (ECOC 2023). Vol. 2023 34. ed. Institute of Electrical and Electronics Engineers (IEEE), 2024. p. 1126-1129 (European Conference on Optical Communication).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Field-Trial Demonstration of ML Deployment in Optical Networks Using Telemetry and AI Engine

AU - Shen, Sen

AU - Yang, Ruizhi

AU - Li, Haiyuan

AU - Teng, Yiran

AU - Wang, Rui

AU - Nejabati, Reza

AU - Yan, Shuangyi

AU - Simeonidou, Dimitra

N1 - Conference code: 49

PY - 2024/3/28

Y1 - 2024/3/28

N2 - We present an AI engine built on OpenFaas utilizing distributed databases and network telemetry to monitor and manage multiple ML models. Two use cases of ML applications in optical networks are demonstrated over the field-trial testbed, showcasing the feasibility and scalability of the proposed scheme.

AB - We present an AI engine built on OpenFaas utilizing distributed databases and network telemetry to monitor and manage multiple ML models. Two use cases of ML applications in optical networks are demonstrated over the field-trial testbed, showcasing the feasibility and scalability of the proposed scheme.

UR - https://ecoc2023.theiet.org/

U2 - 10.1049/icp.2023.2458

DO - 10.1049/icp.2023.2458

M3 - Conference Contribution (Conference Proceeding)

VL - 2023

T3 - European Conference on Optical Communication

SP - 1126

EP - 1129

BT - 49th European Conference on Optical Communications (ECOC 2023)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 49th European Conference on Optical Communications (ECOC 2023)

Y2 - 1 October 2023 through 5 October 2023

ER -

Shen S , Yang R, Li H, Teng Y , Wang R, Nejabati R et al. Field-Trial Demonstration of ML Deployment in Optical Networks Using Telemetry and AI Engine. In 49th European Conference on Optical Communications (ECOC 2023). 34 ed. Vol. 2023. Institute of Electrical and Electronics Engineers (IEEE). 2024. p. 1126-1129. (European Conference on Optical Communication). doi: 10.1049/icp.2023.2458

Field-Trial Demonstration of ML Deployment in Optical Networks Using Telemetry and AI Engine

Abstract

Publication series

Conference

Bibliographical note

Research Groups and Themes

Access to Document

Handle.net

Other files and links

Fingerprint

Unified Monitoring and Telemetry Platform for Future Intelligent Optical Networks

Cite this