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zhizhenzhong committed Aug 5, 2021
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21 changes: 21 additions & 0 deletions LICENSE
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MIT License

Copyright (c) 2021 ARROW & BOW

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
19 changes: 19 additions & 0 deletions README.md
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# BOW: Bayesian-Optimized Wavelengths

## 1. Overview
BOW is a bayesian optimization system that optimizes optical wavelengths' Quality of Transmission (QoT) metrics (e.g., OSNR) for wavelength reconfigurations. BOW is built on Python 3.8.8, with Ax (https://ax.dev) as the Bayesian Optimization backend, GNPy (https://gnpy.readthedocs.io/en/master/) as the optical-layer QoT estimator, and FCR (https://github.com/facebookincubator/FCR) as the control interface to optical network devices.

For a full technical description on BOW, please read our OFC 2021 paper:

> Z. Zhong, M. Ghobadi, M. Balandat, S. Katti, A. Kazerouni, J. Leach, M. McKillop, Y. Zhang, "BOW: First Real-World Demonstration of a Bayesian Optimization System for Wavelength Reconfiguration," OFC, 2021. http://bow.csail.mit.edu/files/OFC-21-BOW-final.pdf
For more details on BOW, please visit our website: http://bow.csail.mit.edu


## 2. Requirement
* Python 3.8
* Ax 0.1.20
* GNPy 2.1

## 3. Licence
BOW is MIT-licenced.
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