Large Language Models for Zero Touch Network Configuration Management Article Swipe
Oscar G. Lira
,
Oscar M. Caicedo
,
Nelson L. S. da Fonseca
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2408.13298
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2408.13298
The Zero-touch Network & Service Management (ZSM) paradigm, a direct response to the increasing complexity of communication networks, is a problem-solving approach. In this paper, taking advantage of recent advances in generative Artificial Intelligence, we introduce the Network ConFiguration Generator (LLM-NetCFG) that employs Large Language Model and 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.
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Metadata
- Type
- preprint
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- en
- Landing Page
- http://arxiv.org/abs/2408.13298
- https://arxiv.org/pdf/2408.13298
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- 10
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All OpenAlex metadata
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https://doi.org/10.48550/arxiv.2408.13298Digital Object Identifier
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Large Language Models for Zero Touch Network Configuration ManagementWork title
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preprintOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-08-23Full publication date if available
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Oscar G. Lira, Oscar M. Caicedo, Nelson L. S. da FonsecaList of authors in order
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https://arxiv.org/abs/2408.13298Publisher landing page
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https://arxiv.org/pdf/2408.13298Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2408.13298Direct OA link when available
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Zero (linguistics), Computer science, Linguistics, PhilosophyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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