A Distributed AI System for Improving Single-Domain Network Intent Resolution

Resolving network intents to network service descriptions (NSDs) is a key process in intent-based networking (IBN). Current state-of-the-art systems for single-domain intent resolution operate independently. Agents usually resolve the network intents of their domains without interacting with other agents. However, some aspects of the input network intents will be better interpreted and understood by other agents. We propose to use a distributed multi-agent system to enhance single-domain network intent resolution. Each agent of our proposed system delivers artificial intelligence (AI) operations through a machine-interactive interface. Agents make use of this interface to request other agents the resolution of parts of the input intents. The responses are gathered and a resulting NSD is produced. We demonstrate that adding external intelligence to the operation highly improves the network intent resolution process, reaching 100% accurate resolutions, which is more than 40% improvement over current state-of-the-art solutions.

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Publication Details

Published
2025-03-11
DOI
https://doi.org/10.1109/icin64016.2025.10942871
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
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article

A Distributed AI System for Improving Single-Domain Network Intent Resolution

Pedro Martínez-Julia, Ved P. Kafle, Hitoshi Asaeda
Network Security and Intrusion Detection
article

A Distributed AI System for Improving Single-Domain Network Intent Resolution

Pedro Martínez-Julia, Ved P. Kafle, Hitoshi Asaeda
article en

Abstract

Resolving network intents to network service descriptions (NSDs) is a key process in intent-based networking (IBN). Current state-of-the-art systems for single-domain intent resolution operate independently. Agents usually resolve the network intents of their domains without interacting with other agents. However, some aspects of the input network intents will be better interpreted and understood by other agents. We propose to use a distributed multi-agent system to enhance single-domain network intent resolution. Each agent of our proposed system delivers artificial intelligence (AI) operations through a machine-interactive interface. Agents make use of this interface to request other agents the resolution of parts of the input intents. The responses are gathered and a resulting NSD is produced. We demonstrate that adding external intelligence to the operation highly improves the network intent resolution process, reaching 100% accurate resolutions, which is more than 40% improvement over current state-of-the-art solutions.

National Institute of Information and Communications Technology (JP)
Openalex Percentile: Top 94%
Network Security and Intrusion Detection
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