Distributed AI in Zero-Touch Provisioning for Edge Networks: Challenges and Research Directions
Hazra, Abhishek; Morichetta, Andrea; Murturi, Ilir; Lovén, Lauri; Dehury, Chinmaya Kumar; Pujol, Victor Casamayor; Donta, Praveen Kumar; Dustdar, Schahram (2024-03-06)
Hazra, Abhishek
Morichetta, Andrea
Murturi, Ilir
Lovén, Lauri
Dehury, Chinmaya Kumar
Pujol, Victor Casamayor
Donta, Praveen Kumar
Dustdar, Schahram
IEEE
06.03.2024
A. Hazra et al., "Distributed AI in Zero-Touch Provisioning for Edge Networks: Challenges and Research Directions," in Computer, vol. 57, no. 3, pp. 69-78, March 2024, doi: 10.1109/MC.2023.3334913
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© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202403192311
https://urn.fi/URN:NBN:fi:oulu-202403192311
Tiivistelmä
Abstract
This article combines Distributed Artificial Intelligence (DAI) with zero-touch provisioning (ZTP) for edge networks. Several advantages are also highlighted that come with incorporating DAI into ZTP in the context of edge networks. Further, we draw potential research directions to foster novel studies in this field.
This article combines Distributed Artificial Intelligence (DAI) with zero-touch provisioning (ZTP) for edge networks. Several advantages are also highlighted that come with incorporating DAI into ZTP in the context of edge networks. Further, we draw potential research directions to foster novel studies in this field.
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