INCS: A DRL‑Based Intent‑Driven Network‑Wide Configuration Synthesis Framework

The article presents INCS, a novel framework that combines graph neural networks and deep reinforcement learning to achieve protocol‑agnostic, millisecond‑level, globally optimized network configuration synthesis, addressing scalability, protocol dependence, and lack of optimization in traditional SMT‑based methods, and demonstrates its superior performance on large‑scale topologies.

DDPGGraph Neural NetworkNetwork Synthesis

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INCS: A DRL‑Based Intent‑Driven Network‑Wide Configuration Synthesis Framework

Network Intelligence Research Center (NIRC)

Aug 15, 2023 · Artificial Intelligence

Neural Networks for Rapid Network Configuration: A Concise Overview

The article presents a neural‑algorithmic reasoning approach that replaces slow SMT‑based network configuration tools with a graph‑neural‑network model, describing dataset creation, model architecture, and experiments that show 20‑to‑490× speedups while maintaining over 92% configuration consistency on large topologies.

Graph Neural NetworkNetwork ConfigurationNetwork Synthesis

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Neural Networks for Rapid Network Configuration: A Concise Overview