Machine-Learning Based Prediction of Multiple Types of Network Traffic-Reference-Cited by-同舟云学术

Machine-Learning Based Prediction of Multiple Types of Network Traffic

Published:2021 Issue: Volume: Page:122-136
ISSN:0302-9743
Container-title:Computational Science – ICCS 2021
language:
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Author:

Knapińska Aleksandra^ORCID,Lechowicz Piotr^ORCID,Walkowiak Krzysztof^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-77961-0_12

Reference19 articles.

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4. Cenedese, A., Tramarin, F., Vitturi, S.: An energy efficient ethernet strategy based on traffic prediction and shaping. IEEE Trans. Commun. 65(1), 270–282 (2016)

5. Chen, X., Li, B., Shamsabardeh, M., Proietti, R., Zhu, Z., Yoo, S.J.B.: On real-time and self-taught anomaly detection in optical networks using hybrid unsupervised/supervised learning. In: 2018 European Conference on Optical Communication (ECOC), pp. 1–3 (2018)

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