Configuration of an optical switch fabric using machine learning
Abstract
An optical switch fabric comprises two or more optical switch elements. The optical switch elements are configured in a topology. A switch control has a plurality of bias control signals. The switch control can address one or more of the optical switch elements and can apply one of the bias control signals to bias of the addressed optical switch element to establish a switch setting. The topology and switch settings determine how each of one of the inputs is connected to each of one of the outputs of the optical switch fabric. The switch settings are determined by a machine learning process which includes a model creation. The model can be made to adapt dynamically during optical switch fabric operation.
- Inventors:
- Issue Date:
- Research Org.:
- International Business Machines Corp., Armonk, NY (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 2222155
- Patent Number(s):
- 11727262
- Application Number:
- 16/569,496
- Assignee:
- International Business Machines Corporation (Armonk, NY)
- DOE Contract Number:
- AR0000844
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 09/12/2019
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Dupuis, Nicolas, and Lee, Benjamin Giles. Configuration of an optical switch fabric using machine learning. United States: N. p., 2023.
Web.
Dupuis, Nicolas, & Lee, Benjamin Giles. Configuration of an optical switch fabric using machine learning. United States.
Dupuis, Nicolas, and Lee, Benjamin Giles. Tue .
"Configuration of an optical switch fabric using machine learning". United States. https://www.osti.gov/servlets/purl/2222155.
@article{osti_2222155,
title = {Configuration of an optical switch fabric using machine learning},
author = {Dupuis, Nicolas and Lee, Benjamin Giles},
abstractNote = {An optical switch fabric comprises two or more optical switch elements. The optical switch elements are configured in a topology. A switch control has a plurality of bias control signals. The switch control can address one or more of the optical switch elements and can apply one of the bias control signals to bias of the addressed optical switch element to establish a switch setting. The topology and switch settings determine how each of one of the inputs is connected to each of one of the outputs of the optical switch fabric. The switch settings are determined by a machine learning process which includes a model creation. The model can be made to adapt dynamically during optical switch fabric operation.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2023},
month = {8}
}
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