Data preprocessing for machine-learning-based adaptive data center transmission

Data preprocessing for machine-learning-based adaptive data center transmission

To enable optical interconnect fluidity in next-generation data centers, we propose adaptive transmission based on machine learning in a wavelength-routing network. We consider programmable transmitters that can apply N possible code rates to connections based on predicted bit error rate (BER) value...

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Bibliographic Details
Main Authors: Kamran Keykhosravi, Ahad Hamednia, Houman Rastegarfar, Erik Agrell
Format: Article
Language:English
Published: Elsevier 2022-03-01
Series:ICT Express
Subjects:
Data center network
Neural network
Adaptive transmission
Online Access:http://www.sciencedirect.com/science/article/pii/S2405959522000212

Internet

http://www.sciencedirect.com/science/article/pii/S2405959522000212

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