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OSA Publishing

1 October 2018, Volume 10, Issue 10, pp. ML1-ML2; D1-D143   12 articles

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Introduction to the JOCN Special Issue on Machine Learning and Data Analytics for Optical Communications and Networking

Massimo Tornatore, Martin Birk, Alan Pak Tao Lau, Qiong Zhang, and Darko Zibar

J. Opt. Commun. Netw. 10(10), ML1-ML2 (2018)  View: HTML | PDF

Deep-Neural-Network-Based Wavelength Selection and Switching in ROADM Systems

Weiyang Mo, Craig L. Gutterman, Yao Li, Shengxiang Zhu, Gil Zussman, and Daniel C. Kilper

J. Opt. Commun. Netw. 10(10), D1-D11 (2018)  View: HTML | PDF

Machine-Learning-Based Prediction for Resource (Re)allocation in Optical Data Center Networks

Sandeep Kumar Singh and Admela Jukan

J. Opt. Commun. Netw. 10(10), D12-D28 (2018)  View: HTML | PDF

Deep-Learning-Assisted Network Orchestration for On-Demand and Cost-Effective vNF Service Chaining in Inter-DC Elastic Optical Networks

Baojia Li, Wei Lu, Siqi Liu, and Zuqing Zhu

J. Opt. Commun. Netw. 10(10), D29-D41 (2018)  View: HTML | PDF

Machine Learning Based Linear and Nonlinear Noise Estimation

F. J. Vaquero Caballero, D. J. Ives, C. Laperle, D. Charlton, Q. Zhuge, M. O’Sullivan, and Seb J. Savory

J. Opt. Commun. Netw. 10(10), D42-D51 (2018)  View: HTML | PDF

Two Use Cases of Machine Learning for SDN-Enabled IP/Optical Networks: Traffic Matrix Prediction and Optical Path Performance Prediction [Invited]

Gagan Choudhury, David Lynch, Gaurav Thakur, and Simon Tse

J. Opt. Commun. Netw. 10(10), D52-D62 (2018)  View: HTML | PDF

Simple Learning Method to Guarantee Operational Range of Optical Monitors

Takahito Tanimura, Takeshi Hoshida, Tomoyuki Kato, Shigeki Watanabe, and Hiroyuki Morikawa

J. Opt. Commun. Netw. 10(10), D63-D71 (2018)  View: HTML | PDF

Using Machine Learning to Balance Energy Cost and Emissions in Optical Networks

Arash Deylamsalehi, Dylan A. P. Davis, Pegah Afsharlar, Mehdi Bahrami, Wei-Peng Chen, and Vinod M. Vokkarane

J. Opt. Commun. Netw. 10(10), D72-D83 (2018)  View: HTML | PDF

Machine Learning Models for Estimating Quality of Transmission in DWDM Networks

Rui Manuel Morais and João Pedro

J. Opt. Commun. Netw. 10(10), D84-D99 (2018)  View: HTML | PDF

Using Machine Learning in Communication Networks [Invited]

David Côté

J. Opt. Commun. Netw. 10(10), D100-D109 (2018)  View: HTML | PDF

Auto-Tuning PID Distributed Power Control for Next-Generation Passive Optical Networks

Layhon R. R. dos Santos, Fábio R. Durand, Alessandro Goedtel, and Taufik Abrão

J. Opt. Commun. Netw. 10(10), D110-D125 (2018)  View: HTML | PDF

Spotlight on Optics

Machine Learning for Network Automation: Overview, Architecture, and Applications [Invited Tutorial]

Danish Rafique and Luis Velasco

J. Opt. Commun. Netw. 10(10), D126-D143 (2018)  View: HTML | PDF

14-node NSFnet topology, with regional power markets highlighted. See Deylamsalehi et al., pp. D72-D83.

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  4. Machine-Learning-Based Prediction for Resource (Re)allocation in Optical Data Center Networks
  5. Machine Learning Based Linear and Nonlinear Noise Estimation
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