Simulation Research on Large-Scale Multi-Node Clusters Using NS3

The increasing demand for large-scale, high-throughput network simulations poses significant challenges for the mainstream simulation tool NS3, particularly in parallel execution. The default NS3 framework, optimized for single-process operation, results in excessive simulation times and lacks an efficient node-to-process mapping strategy. Despite the existence of MPI-based parallelization techniques, a systematic methodology for distributing computational workloads remains unexplored. This study investigates the performance of NS3 simulations augmented with MPI in a multi-node cluster environment. Through empirical evaluation, we optimize node-process allocation strategies and demonstrate that leveraging MPI accelerates large-scale congestion control simulations in NS3, achieving substantial performance improvements.