English

DeepALM: Holistic Optical Network Monitoring based on Machine Learning

Networking and Internet Architecture 2022-03-28 v1
Authors: Joo Yeon Cho , Jose-Juan Pedreno-Manresa , Sai Kireet Patri , Khouloud Abdelli , Carsten Tropschug , Jim Zou , Piotr Rydlichowski
View on arXiv ↗ PDF ↗

Abstract

We demonstrate a machine learning-based optical network monitoring system which can integrate fiber monitoring, predictive maintenance of optical hardware, and security information management in a single solution.

Keywords

runtime monitoring optical network machine learning

Cite

@article{arxiv.2203.13596,
  title  = {DeepALM: Holistic Optical Network Monitoring based on Machine Learning},
  author = {Joo Yeon Cho and Jose-Juan Pedreno-Manresa and Sai Kireet Patri and Khouloud Abdelli and Carsten Tropschug and Jim Zou and Piotr Rydlichowski},
  journal= {arXiv preprint arXiv:2203.13596},
  year   = {2022}
}

Related papers

View all related →
Machine Learning · Computer Science
An Overview of Machine Learning-aided Optical Performance Monitoring Techniques
Dativa K. Tizikara, Jonathan Serugunda, Andrew Katumba
2021-08-16
Networking and Internet Architecture · Computer Science
A Review of Machine Learning-based Failure Management in Optical Networks
Danshi Wang, Chunyu Zhang, Wenbin Chen, Hui Yang +2
2022-08-24
Artificial Intelligence · Computer Science
Machine learning and deep learning
Christian Janiesch, Patrick Zschech, Kai Heinrich
2021-04-15
Neural and Evolutionary Computing · Computer Science
Physical deep learning based on optimal control of dynamical systems
Genki Furuhata, Tomoaki Niiyama, Satoshi Sunada
2021-04-02
Networking and Internet Architecture · Computer Science
An Overview on Application of Machine Learning Techniques in Optical Networks
Francesco Musumeci, Cristina Rottondi, Avishek Nag, Irene Macaluso +3
2018-12-04
Computer Vision and Pattern Recognition · Computer Science
Deep Learning Algorithms for Signal Recognition in Long Perimeter Monitoring Distributed Fiber Optic Sensors
A. V. Makarenko
2016-10-04
Machine Learning · Computer Science
Neural Active Learning Meets the Partial Monitoring Framework
Maxime Heuillet, Ola Ahmad, Audrey Durand
2024-05-16
Machine Learning · Computer Science
FederatedNILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring based on Federated Deep Learning
Shuang Dai, Fanlin Meng, Qian Wang, Xizhong Chen
2021-08-10
Networking and Internet Architecture · Computer Science
Machine Learning for Intelligent Optical Networks: A Comprehensive Survey
Rentao Gu, Zeyuan Yang, Yuefeng Ji
2020-04-02
Signal Processing · Electrical Eng. & Systems
A Federated Learning Framework for Non-Intrusive Load Monitoring
Haijin Wang, Caomingzhe Si, Junhua Zhao
2021-05-25
Instrumentation and Detectors · Physics
Multi-parameter sensing enabled by modular fibre-optic assemblies
Kenny Hey Tow, Joao M B Pereira, Miguel Soriano-Amat, Markus Persson +5
2025-09-16
Machine Learning · Computer Science
Evolutionary Deep Nets for Non-Intrusive Load Monitoring
Jinsong Wang, Kenneth A. Loparo
2023-03-08
Networking and Internet Architecture · Computer Science
A Coverage Monitoring algorithm based on Learning Automata for Wireless Sensor Networks
Habib Mostafaei, Mehdi Esnaashari, Mohammad Reza Meybodi
2014-12-24
Networking and Internet Architecture · Computer Science
Massive MIMO Adaptive Modulation and Coding Using Online Deep Learning Algorithm
Evgeny Bobrov, Dmitry Kropotov, Hao Lu, Danila Zaev
2024-09-04
Networking and Internet Architecture · Computer Science
A Survey of Machine Learning Algorithms for 6G Wireless Networks
Anita Patil, Sridhar Iyer, Rahul Jashvantbhai Pandya
2022-03-17
Machine Learning · Computer Science
IoT Network Traffic Analysis with Deep Learning
Mei Liu, Leon Yang
2024-02-08
Networking and Internet Architecture · Computer Science
Two Use Cases of Machine Learning for SDN-Enabled IP/Optical Networks: Traffic Matrix Prediction and Optical Path Performance Prediction
Gagan Choudhury, David Lynch, Gaurav Thakur, Simon Tse
2018-06-13
Networking and Internet Architecture · Computer Science
Forecasting Loss of Signal in Optical Networks with Machine Learning
Wenjie Du, David Cote, Chris Barber, Yan Liu
2022-05-10
Software Engineering · Computer Science
Towards Observability for Production Machine Learning Pipelines
Shreya Shankar, Aditya Parameswaran
2022-07-19
Optics · Physics
Learning-based multiplexed transmission of scattered twisted light through a kilometer-scale standard multimode fiber
Yifan Liu, Zhisen Zhang, Panpan Yu, Yijing Wu +4
2022-01-19
Signal Processing · Electrical Eng. & Systems
A Survey on Machine and Deep Learning for Optical Communications
M. A. Amirabadi, S. A. Nezamalhosseini, M. H. Kahaei, Lawrence R. Chen
2024-12-25
Machine Learning · Computer Science
OptINC: Optical In-Network-Computing for Scalable Distributed Learning
Sijie Fei, Grace Li Zhang, Bing Li, Ulf Schlichtmann
2026-03-31
Cryptography and Security · Computer Science
Machine Learning in Network Security Using KNIME Analytics
Munther Abualkibash
2020-01-31
Networking and Internet Architecture · Computer Science
Optical Network Virtualisation using Multi-technology Monitoring and SDN-enabled Optical Transceiver
Yanni Ou, Matthew Davis, Alejandro Aguado, Fanchao Meng +2
2018-04-04
Machine Learning · Computer Science
Fault Monitoring in Passive Optical Networks using Machine Learning Techniques
Khouloud Abdelli, Carsten Tropschug, Helmut Griesser, Stephan Pachnicke
2023-07-11
R2 v1 2026-06-24T10:25:49.083Z