BOW

BOW: First Real-World Demonstration of a Bayesian Optimization System for Wavelength Reconfiguration

Overview

We demonstrate a practical Bayesian Optimization system for wavelength reconfiguration at Facebook backbone. Our system uses a firewall for safe deployment. It is open-source, compatible with any vendor, and achieves 4.76x faster wavelength reconfiguration.

BOW is part of the Reconfigurable Networks project, check out more here.

Diagram

Insights

Today's wavelength provisioning is slow (tens of minutes), mainly because of amplifier reconfigurations.

Today's optical line systems rely on proprietary amplifier control method based on complex modeling of amplifiers (noise figures, gain profiles)..

BOW leverages Bayesian Optimization for in-situ learning of amplifier control strategies.

BOW is production-ready and compatible with multi-vendor optical devices.

Talk

Presentation Video

Artifact

Code available: bow

Publication

BOW: First Real-World Demonstration of a Bayesian Optimization System for Wavelength Reconfiguration
Z. Zhong, M. Ghobadi, M. Balandat, S. Katti, A. Kazerouni, J. Leach, M. McKillop, Y. Zhang
OFC 2021
Postdeadline Paper
Paper | Slides | Video | BibTeX | Artifact

@inproceedings{zhong2021bow, title={BOW: First Real-World Demonstration of a Bayesian Optimization System for Wavelength Reconfiguration}, author={Zhong, Zhizhen and Ghobadi, Manya and Balandat, Maximilian and Katti, Sanjeevkumar and Kazerouni, Abbas and Leach, Jonathan and McKillop, Mark and Zhang, Ying}, booktitle={Optical Fiber Communication Conference}, pages={F3B--1}, year={2021}, organization={Optical Society of America} }

Related Publications

@inproceedings{zhong2021arrow, title={ARROW: restoration-aware traffic engineering}, author={Zhong, Zhizhen and Ghobadi, Manya and Khaddaj, Alaa and Leach, Jonathan and Xia, Yiting and Zhang, Ying}, booktitle={Proceedings of the 2021 ACM SIGCOMM 2021 Conference}, pages={560--579}, year={2021} }

Contributors

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