Application of Artificial Intelligence and Machine Learning in Software Defined Networks

Shakir Salman Ahmad; Mohammed I. Habelamateen

doi:10.2478/jsiot-2023-0002

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Application of Artificial Intelligence and Machine Learning in Software Defined Networks

Journal of Smart Internet of Things

Volume 2023 (2023): Issue 1 (June 2023)

By: Shakir Salman Ahmad and Mohammed I. Habelamateen

Open Access

|Oct 2023

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.

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Articles in this issue

DOI: https://doi.org/10.2478/jsiot-2023-0002 | Journal eISSN: 2956-8323

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Language: English

Page range: 14 - 22

Submitted on: Mar 20, 2021

Accepted on: Jul 10, 2021

Published on: Oct 14, 2023

Published by: Future Sciences For Digital Publishing

In partnership with: Paradigm Publishing Services

Publication frequency: 2 issues per year

Keywords:

5G,

SDN,

Related subjects:

Introductions and overviews,

History of engineering,

Electrical engineering,

Fundamentals of electrical engineering,

Electronics,

Information technology

© 2023 Shakir Salman Ahmad, Mohammed I. Habelamateen, published by Future Sciences For Digital Publishing
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 2023 (2023): Issue 1 (June 2023)