A Comparative Analysis of Digital Twins for Advanced Networks

A Digital Twin offers a revolutionary approach to analyzing scalable networks. By creating high-fidelity, fine-grained digital replicas of the network environment at a low cost, it facilitates comprehensive and safe analysis of network behavior in controlled settings. Numerous digital twin platforms are available online, each with distinct focuses and limitations. This study systematically investigates open-source digital twin platforms for computer networks by establishing a comprehensive set of criteria to evaluate their features and limitations. Subsequently, the chosen platforms undergo a rigorous evaluation using a large-scale distributed computing test case. This testing enables a detailed analysis of resource utilization metrics, offering valuable insights into the performance characteristics of these platforms.