TY - GEN
T1 - First scalable machine learning based architecture for cloud-native transport SDN controller
AU - Manso, Carlos
AU - Yoshikane, Noboru
AU - Vilalta, Ricard
AU - Muñoz, Raul
AU - Casellas, Ramon
AU - Martínez, Ricardo
AU - Wang, Cen
AU - Balasis, Filippos
AU - Tsuritani, Takehiro
AU - Morita, Itsuro
N1 - Funding Information:
Work supported by the EC H2020 TeraFlow (101015857) and Spanish AURORAS (RTI2018-099178-I00) and Ministry of Internal Affairs and Communications, Japan grant number JP MI00316.
Publisher Copyright:
© OSA 2021, © 2021 The Author(s)
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:85133795899
T3 - Optics InfoBase Conference Papers
BT - Optical Fiber Communication Conference, OFC 2021
PB - Optica Publishing Group (formerly OSA)
T2 - Optical Fiber Communication Conference, OFC 2021
Y2 - 6 June 2021 through 11 June 2021
ER -