First Scalable Machine Learning Based Architecture for Cloud-native Transport SDN Controller

Carlos Manso; Noboru Yoshikane; Ricard Vilalta; Raul Munoz; Ramon Casellas; Ricardo Martinez; Cen Wang; Filippos Balasis; Takehiro Tsuritani; Itsuro Morita

First Scalable Machine Learning Based Architecture for Cloud-native Transport SDN Controller

Carlos Manso, Noboru Yoshikane, Ricard Vilalta, Raul Munoz, Ramon Casellas, Ricardo Martinez, Cen Wang, Filippos Balasis, Takehiro Tsuritani, Itsuro Morita

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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 language	English
Title of host publication	2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781943580866
Publication status	Published - 2021 Jun
Externally published	Yes
Event	2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - San Francisco, United States Duration: 2021 Jun 6 → 2021 Jun 11

Publication series

Name	2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings

Conference

Conference	2021 Optical Fiber Communications Conference and Exhibition, OFC 2021
Country/Territory	United States
City	San Francisco
Period	21/6/6 → 21/6/11

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Hardware and Architecture
Signal Processing
Electronic, Optical and Magnetic Materials
Instrumentation
Atomic and Molecular Physics, and Optics

Cite this

Manso, C., Yoshikane, N., Vilalta, R., Munoz, R., Casellas, R., Martinez, R., Wang, C., Balasis, F., Tsuritani, T., & Morita, I. (2021). First Scalable Machine Learning Based Architecture for Cloud-native Transport SDN Controller. In 2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings [9489435] (2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings). Institute of Electrical and Electronics Engineers Inc..

First Scalable Machine Learning Based Architecture for Cloud-native Transport SDN Controller. / Manso, Carlos; Yoshikane, Noboru; Vilalta, Ricard et al.

2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. 9489435 (2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Manso, C, Yoshikane, N, Vilalta, R, Munoz, R, Casellas, R, Martinez, R, Wang, C, Balasis, F, Tsuritani, T & Morita, I 2021, First Scalable Machine Learning Based Architecture for Cloud-native Transport SDN Controller. in 2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings., 9489435, 2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2021 Optical Fiber Communications Conference and Exhibition, OFC 2021, San Francisco, United States, 21/6/6.

Manso C, Yoshikane N, Vilalta R, Munoz R, Casellas R, Martinez R et al. First Scalable Machine Learning Based Architecture for Cloud-native Transport SDN Controller. In 2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. 9489435. (2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings).

Manso, Carlos ; Yoshikane, Noboru ; Vilalta, Ricard et al. / First Scalable Machine Learning Based Architecture for Cloud-native Transport SDN Controller. 2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings).

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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.",

author = "Carlos Manso and Noboru Yoshikane and Ricard Vilalta and Raul Munoz and Ramon Casellas and Ricardo Martinez and Cen Wang and Filippos Balasis and Takehiro Tsuritani and Itsuro Morita",

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AU - Yoshikane, Noboru

AU - Vilalta, Ricard

AU - Munoz, Raul

AU - Casellas, Ramon

AU - Martinez, Ricardo

AU - Wang, Cen

AU - Balasis, Filippos

AU - Tsuritani, Takehiro

AU - Morita, Itsuro

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PY - 2021/6

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M3 - Conference contribution

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T3 - 2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings

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ER -

First Scalable Machine Learning Based Architecture for Cloud-native Transport SDN Controller

Abstract

Publication series

Conference

ASJC Scopus subject areas

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