| Autor: |
Kamran Keykhosravi, Ahad Hamednia, Houman Rastegarfar, Erik Agrell |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
ICT Express, Vol 8, Iss 1, Pp 37-43 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2405-9595 |
| DOI: |
10.1016/j.icte.2022.02.002 |
| Popis: |
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) values. To classify the BER, we employ a preprocessing algorithm to feed the traffic data to a neural network classifier. We demonstrate the significance of our proposed preprocessing algorithm and the classifier performance for different values of N and switch port count. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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