Work

Large Language Models for Zero Touch Network Configuration Management

Year: 2024

Type: article

Abstract: The zero-touch network and service management (ZSM) paradigm, a direct response to the increasing complexity of communication networks, is a problem-solving approach. In this article, taking advantage of recent advances in generative artificial intelligence, we introduce the network configuration generator (LLM-NetCFG) that architects ZSM configuration agents by large language models. LLM-NetCFG can automatically generate configurations, verify them, and configure network devices based on intents expressed in natural language. We also show the automation and verification of network configurations with minimum human intervention. Moreover, we explore the opportunities and challenges of integrating LLM in functional areas of network management to fully achieve ZSM.

Source: IEEE Communications Magazine

DOI: 10.1109/mcom.001.2400368

Authors: Oscar G. Lira, Oscar M. Caicedo, Nelson L. S. da Fonseca

Institution: University of Cauca

Language: English

Topic: Software-Defined Networks and 5G

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funders: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico