This work investigates Intent Based Networking as a goal oriented paradigm for automating complex, multi domain infrastructures and explores how Large Language Models can enhance intent intake, refinement, and assurance. The study presents a complete SDN based experimental environment integrating ONOS, Mininet, a Flask gateway, and LangChain to validate semantic intent processing and assess its operational benefits.
This work investigates Intent Based Networking as a goal oriented paradigm for automating complex, multi domain infrastructures and explores how Large Language Models can enhance intent intake, refinement, and assurance. The study presents a complete SDN based experimental environment integrating ONOS, Mininet, a Flask gateway, and LangChain to validate semantic intent processing and assess its operational benefits.
DESIGN AND IMPLEMENTATION OF SECURE POLICY PIPELINES FOR INTENT-BASED NETWORKING
LEGARI, VITTORIO
2024/2025
Abstract
This work investigates Intent Based Networking as a goal oriented paradigm for automating complex, multi domain infrastructures and explores how Large Language Models can enhance intent intake, refinement, and assurance. The study presents a complete SDN based experimental environment integrating ONOS, Mininet, a Flask gateway, and LangChain to validate semantic intent processing and assess its operational benefits.| File | Dimensione | Formato | |
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Tesi_Legari_Vittorio.pdf
non disponibili
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3.7 MB
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Adobe PDF
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3.7 MB | Adobe PDF |
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https://hdl.handle.net/20.500.14253/67636