pyjevsim: Streamlining simulation workflows using journaling in Python-based discrete event simulation environments

Abstract

Experts develop simulation software for domain-specific problems and utilize it to solve the problem. However, repeated simulations during development and experimentation often lead to excessive computational costs. To mitigate this, we propose pyjevsim, a Python-based discrete event simulation environment with integrated journaling. pyjevsim enables users to restore simulations, modify parameters or models, and resume execution. Additionally, pyjevsim follows the separation of concerns principle, allowing experts to focus on domain-specific logic without explicitly handling data marshaling. Examples illustrate that pyjevsim reduces execution time and computational overhead, improving productivity across various domains.