Distributed AI in Zero-touch Provisioning for Edge Networks: Challenges and Research Directions

• URL: http://arxiv.org/abs/2311.17471v1
• Date: Wed, 29 Nov 2023 09:28:33 GMT
• Title: Distributed AI in Zero-touch Provisioning for Edge Networks: Challenges and Research Directions
• Authors: Abhishek Hazra, Andrea Morichetta, Ilir Murturi, Lauri Lov\'en, Chinmaya Kumar Dehury, Victor Casamayor Pujol, Praveen Kumar Donta, Schahram Dustdar
• Abstract summary: Zero-touch network is anticipated to inaugurate the generation of intelligent and highly flexible resource provisioning strategies. This article combines Distributed Artificial Intelligence (DAI) with Zero-touch Provisioning (ZTP) for edge networks.
• Score: 5.3804513877104885
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Zero-touch network is anticipated to inaugurate the generation of intelligent and highly flexible resource provisioning strategies where multiple service providers collaboratively offer computation and storage resources. This transformation presents substantial challenges to network administration and service providers regarding sustainability and scalability. This article combines Distributed Artificial Intelligence (DAI) with Zero-touch Provisioning (ZTP) for edge networks. This combination helps to manage network devices seamlessly and intelligently by minimizing human intervention. In addition, several advantages are also highlighted that come with incorporating Distributed AI into ZTP in the context of edge networks. Further, we draw potential research directions to foster novel studies in this field and overcome the current limitations.

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