Guest Editorial Special Issue on Advances in Artificial Intelligence and Machine Learning for Networking

Prosper Chemouil, Pan Hui, Wolfgang Kellerer, Noura Limam, Rolf Stadler, Yonggang Wen

Research output: Contribution to journalReview articlepeer-review

6 Scopus citations

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) approaches have emerged in the networking domain with great expectation. They can be broadly divided into AI/ML techniques for network engineering and management, network designs for AI/ML applications, and system concepts. AI/ML techniques for networking and management improve the way we address networking. They support efficient, rapid, and trustworthy engineering, operations, and management. As such, they meet the current interest in softwarization and network programmability that fuels the need for improved network automation in agile infrastructures, including edge and fog environments. Network design and optimization for AI/ML applications addresses the complementary topic of supporting AI/ML-based systems through novel networking techniques, including new architectures and algorithms. The third topic area is system implementation and open-source software development.

Original languageEnglish
Article number9198260
Pages (from-to)2229-2233
Number of pages5
JournalIEEE Journal on Selected Areas in Communications
Volume38
Issue number10
DOIs
StatePublished - Oct 2020

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