Paramounts of Intent-based Networking: Overview

This study is an exploration of the design of the state-of-the-art intent-based networking (IBN) model. In IBN, communication means are initialised by user’s (herein IT staff, not end-user) input of requirements and not instructions. Thus, allowing the self-organisational abilities of the network to set communication paths. Through research of academic studies and standardisation drafts we conduct IBN structure. We determined the need for change in the design. The current IBN model detains its adaptation as network assurance requirements of ensuring network security and scalability, and continuity are unfulfillable via conduct of network analysis and track of intent drift. We propose two submodels - one for autonomous networks and one for supervised networks.

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Publication Details

Journal
Elektronika ir Elektrotechnika
Published
2024-12-18
DOI
https://doi.org/10.5755/j02.eie.38680
Citations
1
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
0.35
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article

Paramounts of Intent-based Networking: Overview

Mārtiņš Mihaeljans, Jurģis Poriņš, Andris Skrastiņš
1 citations
Elektronika ir Elektrotechnika
Distributed systems and fault tolerance
0.35
article

Paramounts of Intent-based Networking: Overview

Mārtiņš Mihaeljans, Jurģis Poriņš, Andris Skrastiņš
article en
1 citations

Abstract

This study is an exploration of the design of the state-of-the-art intent-based networking (IBN) model. In IBN, communication means are initialised by user’s (herein IT staff, not end-user) input of requirements and not instructions. Thus, allowing the self-organisational abilities of the network to set communication paths. Through research of academic studies and standardisation drafts we conduct IBN structure. We determined the need for change in the design. The current IBN model detains its adaptation as network assurance requirements of ensuring network security and scalability, and continuity are unfulfillable via conduct of network analysis and track of intent drift. We propose two submodels - one for autonomous networks and one for supervised networks.

Elektronika ir ElektrotechnikaVol. 30(6)
Riga Technical University (LV)
Openalex Percentile: Top 35%
Distributed systems and fault tolerance
0.35
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