Intelligent Traffic Engineering for Future Intent-Based Software-Defined Transport Network-Reference-Cited by-同舟云学术

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Intelligent Traffic Engineering for Future Intent-Based Software-Defined Transport Network

Published:2021-12-10 Issue: Volume: Page:161-181
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Andrushchak Volodymyr^ORCID,Beshley Mykola^ORCID,Dutko Lyubomyr,Maksymyuk Taras^ORCID,Andrukhiv Taras

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-92435-5_9

Reference33 articles.

1. Alvizu, R., Maier, G., Kukreja, N., Pattavina, A., Morro, R., Cavazzoni ,C.: Comprehensive survey on T-SDN: software-defined networking for transport networks. IEEE Commun. Surv. Tutorials 19(4), 2232–2283 (2017). https://doi.org/10.1109/COMST.2017.2715220

2. Jia, W., Dong, X., Chen, Y., Chen, F.: A survey on All-optical IP convergence optical transport networks. In: 2019 7th International Conference on Information, Communication and Networks (ICICN), pp. 114–119 (2019). https://doi.org/10.1109/ICICN.2019.8834956

3. Musumeci, M., et al.: An overview on application of machine learning techniques in optical networks. IEEE Commun. Surv. Tut. 21(2), 1383–1408 (2019)

4. Kaidan, M., Maksymyuk, T., Andrushchak, V., Klymash, M.: Intelligent data flow aggregation in edge nodes of optical label switching networks. In: 2019 3rd International Conference on Advanced Information and Communications Technologies (AICT), pp. 145–148 (2019)

5. Makridakis, S.: The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms. Futures 90, 46–60 (2017)

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3. Intelligence Management of BLE Sensors by the Edge Device;2022 IEEE 16th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET);2022-02-22

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