Work

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

Year: 2025

Type: software-paper

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.

Source: SoftwareX

DOI: 10.1016/j.softx.2025.102291

Authors: Jaiyun Lee, Gyusik Ham, Sooyoung Jang, Sungjoo Kang, Changbeom Choi

Institutions: Hanbat National University, Electronics and Telecommunications Research Institute

Language: English

Topic: Simulation Techniques and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $1,200

Funders: Ministry of SMEs and Startups, Korea Technology and Information Promotion Agency for SMEs