RouteNet-Gauss: Hardware-Enhanced Network Modeling with Machine Learning

Understand

Network simulation is pivotal in network modeling, assisting with tasks ranging from capacity planning to performance estimation.

• Traditional approaches such as Discrete Event Simulation (DES) face limitations in terms of computational cost and accuracy.
• This paper introduces RouteNet-Gauss, a novel integration of a testbed network with a Machine Learning (ML) model to address these challenges.
• By using the testbed as a hardware accelerator, RouteNet-Gauss generates training datasets rapidly and simulates network scenarios with high fidelity to real-world conditions.