The paper discusses Intent-Based Networking (IBN), a network management paradigm that aligns intents and business objectives with network operations. The authors present an assurance framework that detects and acts when ‘intent drift’ occurs. This is achieved by leveraging AI-driven policies generated by Large Language Models (LLMs), which quickly learn the necessary in-context requirements and assist with the fulfillment and assurance of intents. The authors also discuss the concept of ‘Emergence’, a system for intent fulfillment, and its extension with an assurance methodology to extract key performance indicators, detect and measure intent drift, and extend the LLM pipeline to assure intents.
Publication date: 2 Feb 2024
Project Page: Not provided
Paper: https://arxiv.org/pdf/2402.00715
