Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

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

Not Accessible

Your library or personal account may give you access

Abstract

We describe two applications of machine learning in the context of internet protocol (IP)/Optical networks. The first one allows agile management of resources in a core IP/Optical network by using machine learning for short-term and long-term prediction of traffic flows. It also allows joint global optimization of IP and optical layers using colorless/directionless (CD) reconfigurable optical add-drop multiplexers (ROADMs). Multilayer coordination allows for significant cost savings, flexible new services to meet dynamic capacity needs, and improved robustness by being able to proactively adapt to new traffic patterns and network conditions. The second application is important as we migrate our networks to Open ROADM networks to allow physical routing without the need for detailed knowledge of optical parameters. We discuss a proof-of-concept study, where detailed performance data for established wavelengths in an existing ROADM network is used for machine learning to predict the optical performance of each wavelength. Both applications can be efficiently implemented by using a software-defined network controller.

© 2018 Optical Society of America

Full Article  |  PDF Article
More Like This
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)

Robust network design for IP/optical backbones

Jennifer Gossels, Gagan Choudhury, and Jennifer Rexford
J. Opt. Commun. Netw. 11(8) 478-490 (2019)

Routing and Regenerator Planning in a Carrier’s Core Reconfigurable Optical Network

Balagangadhar G. Bathula, Rakesh K. Sinha, Angela L. Chiu, and Sheryl L. Woodward
J. Opt. Commun. Netw. 10(2) A196-A205 (2018)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (12)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (2)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved