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.
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    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
    Paper | Slides | BibTeX | Code
    Postdeadline Paper
    @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} }
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    ARROW: Restoration-Aware Traffic Engineering
    Z. Zhong, M. Ghobadi, A. Khaddaj, J. Leach, Y. Xia, Y. Zhang
    ACM SIGCOMM 2021
    Paper | Slides | Video | BibTeX | Code
    News article: Who Can Bend Light for Cheaper Internet?
    @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