First scalable machine learning based architecture for cloud-native transport SDN controller

Carlos Manso*, Noboru Yoshikane, Ricard Vilalta, Raul Muñoz, Ramon Casellas, Ricardo Martínez, Cen Wang, Filippos Balasis, Takehiro Tsuritani, Itsuro Morita

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a cloud-native architecture with a machine learning QoT predictor that enables cognitive functions in transport SDN controllers. We evaluate the QoT predictor training and auto-scaling capabilities in a real WDM/SDM testbed.

Original languageEnglish
Title of host publicationOptical Fiber Communication Conference, OFC 2021
PublisherThe Optical Society
ISBN (Electronic)9781557528209
Publication statusPublished - 2021
Externally publishedYes
EventOptical Fiber Communication Conference, OFC 2021 - Virtual, Online, United States
Duration: 2021 Jun 62021 Jun 11

Publication series

NameOptics InfoBase Conference Papers

Conference

ConferenceOptical Fiber Communication Conference, OFC 2021
Country/TerritoryUnited States
CityVirtual, Online
Period21/6/621/6/11

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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