Research Challenges in Coupling Artificial Intelligence and Network Management
draft-irtf-nmrg-ai-challenges-03
| Document | Type |
This is an older version of an Internet-Draft whose latest revision state is "Active".
Expired & archived
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|---|---|---|---|
| Authors | Jérôme François , Alexander Clemm , Dimitri Papadimitriou , Stenio Fernandes , Stefan Schneider | ||
| Last updated | 2024-09-05 (Latest revision 2024-03-04) | ||
| Replaces | draft-francois-nmrg-ai-challenges | ||
| RFC stream | Internet Research Task Force (IRTF) | ||
| Formats | |||
| Additional resources | Mailing list discussion | ||
| Stream | IRTF state | In RG Last Call | |
| Consensus boilerplate | Unknown | ||
| Document shepherd | Laurent Ciavaglia | ||
| IESG | IESG state | Expired | |
| Telechat date | (None) | ||
| Responsible AD | (None) | ||
| Send notices to | Laurent.Ciavaglia@nokia.com |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
This document is intended to introduce the challenges to overcome when Network Management (NM) problems may require to couple with Artificial Intelligence (AI) solutions. On the one hand, there are many difficult problems in NM that to this date have no good solutions, or where any solutions come with significant limitations and constraints. Artificial Intelligence may help produce novel solutions to those problems. On the other hand, for several reasons (computational costs of AI solutions, privacy of data), distribution of AI tasks became primordial. It is thus also expected that network are operated efficiently to support those tasks. To identify the right set of challenges, the document defines a method based on the evolution and nature of NM problems. This will be done in parallel with advances and the nature of existing solutions in AI in order to highlight where AI and NM have been already coupled together or could benefit from a higher integration. So, the method aims at evaluating the gap between NM problems and AI solutions. Challenges are derived accordingly, assuming solving these challenges will help to reduce the gap between NM and AI.
Authors
Jérôme François
Alexander Clemm
Dimitri Papadimitriou
Stenio Fernandes
Stefan Schneider
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)