Version 1
: Received: 31 March 2022 / Approved: 8 April 2022 / Online: 8 April 2022 (08:19:09 CEST)
How to cite:
Moisio, G.; Gonzalvez, A.; Zeitoun, N. Introduction to the Artificial Intelligence that can be Applied to the Network Automation Journey. Preprints2022, 2022040074. https://doi.org/10.20944/preprints202204.0074.v1
Moisio, G.; Gonzalvez, A.; Zeitoun, N. Introduction to the Artificial Intelligence that can be Applied to the Network Automation Journey. Preprints 2022, 2022040074. https://doi.org/10.20944/preprints202204.0074.v1
Moisio, G.; Gonzalvez, A.; Zeitoun, N. Introduction to the Artificial Intelligence that can be Applied to the Network Automation Journey. Preprints2022, 2022040074. https://doi.org/10.20944/preprints202204.0074.v1
APA Style
Moisio, G., Gonzalvez, A., & Zeitoun, N. (2022). Introduction to the Artificial Intelligence that can be Applied to the Network Automation Journey. Preprints. https://doi.org/10.20944/preprints202204.0074.v1
Chicago/Turabian Style
Moisio, G., Alexandre Gonzalvez and Noam Zeitoun. 2022 "Introduction to the Artificial Intelligence that can be Applied to the Network Automation Journey" Preprints. https://doi.org/10.20944/preprints202204.0074.v1
Abstract
The computer network world is changing and the NetDevOps approach has brought the dynamics of applications and systems into the field of communication infrastructure. Businesses are changing and businesses are faced with difficulties related to the diversity of hardware and software that make up those infrastructures. The "Intent-Based Networking - Concepts and Definitions" document describes the different parts of the ecosystem that could be involved in NetDevOps. The recognize, generate intent, translate and refine features need a new way to implement algorithms. This is where artificial intelligence comes in.
Computer Science and Mathematics, Information Systems
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.