Applications of Artificial Intelligence, Machine Learning and related techniques for Computer Networking Systems

• URL: http://arxiv.org/abs/2105.15103v1
• Date: Wed, 21 Apr 2021 05:40:07 GMT
• Title: Applications of Artificial Intelligence, Machine Learning and related techniques for Computer Networking Systems
• Authors: Krishna M. Sivalingam
• Abstract summary: This article presents a primer/overview of applications of Artificial Intelligence and Machine Learning (AI/ML) techniques to address problems in the domain of computer networking. The techniques have been used to support efficient and accurate traffic prediction, traffic classification, anomaly detection, network management, network security, network resource allocation and optimization.
• Score: 0.8376091455761258
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: This article presents a primer/overview of applications of Artificial Intelligence and Machine Learning (AI/ML) techniques to address problems in the domain of computer networking. In particular, the techniques have been used to support efficient and accurate traffic prediction, traffic classification, anomaly detection, network management, network security, network resource allocation and optimization, network scheduling algorithms, fault diagnosis and many more such applications. The article first summarizes some of the key networking concepts and a few representative machine learning techniques and algorithms. The article then presents details regarding the availability of data sets for networking applications and machine learning software and toolkits for processing these data sets. Highlights of some of the standards activities, pursued by ITU-T and ETSI, which are related to AI/ML for networking, are also presented. Finally, the article discusses a small set of representative networking problems where AI/ML techniques have been successfully applied.

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