<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Academics and businesses are very interested in using artificial intelligence (AI) and machine learning (ML) to solve the most challenging problems in a variety of fields. This white paper provides a brief overview of key applications of Artificial Intelligence and Machine Learning in SDN- and NFV-based networks. According to their application history, we categorize the most important developments in this field into different groups and identify the relevant AI methods used. It also covers key challenges and the domain’s future course. We highlight the critical role AI/ML can play in opening the door to self-configuring, self-adapting as well as self-managing networks, but research is inadequate due to the difficulties found in this domain.</p>
</abstract>

Academics and businesses are very interested in using artificial intelligence (AI) and machine learning (ML) to solve the most challenging problems in a variety of fields. This white paper provides a brief overview of key applications of Artificial Intelligence and Machine Learning in SDN- and NFV-based networks. According to their application history, we categorize the most important developments in this field into different groups and identify the relevant AI methods used. It also covers key challenges and the domain’s future course. We highlight the critical role AI/ML can play in opening the door to self-configuring, self-adapting as well as self-managing networks, but research is inadequate due to the difficulties found in this domain.

Application of Artificial Intelligence and Machine Learning in Software Defined Networks

Department of Electronic and Electrical Engineering, College of Engineering, Design and Physical Sciences

Journal of Smart Internet of Things

This work is licensed under the Creative Commons Attribution 4.0 International License.

Academics and businesses are very interested in using artificial intelligence (AI) and machine learning (ML) to solve the most challenging problems in a...

Application of Artificial Intelligence and Machine Learning in Software Defined Networks

Online veröffentlicht: 14. Okt. 2023

Seitenbereich: 14 - 22

Eingereicht: 20. März 2021

Akzeptiert: 10. Juli 2021

DOI: https://doi.org/10.2478/jsiot-2023-0002

Schlüsselwörter
5G, Machine learning, Deep learning, SDN, Network Planning, Management, and Security

© 2023 Shakir Salman Ahmad et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Application of Artificial Intelligence and Machine Learning in Software Defined Networks

Online veröffentlicht: 14. Okt. 2023

Seitenbereich: 14 - 22

Eingereicht: 20. März 2021

Akzeptiert: 10. Juli 2021

DOI: https://doi.org/10.2478/jsiot-2023-0002

Schlüsselwörter5G, Machine learning, Deep learning, SDN, Network Planning, Management, and Security

© 2023 Shakir Salman Ahmad et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
5G, Machine learning, Deep learning, SDN, Network Planning, Management, and Security