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Journal Article
pyjevsim: Streamlining simulation workflows using journaling in Python-based discrete event simulation environments
- Authors
- Jaiyun Lee, Gyusik Ham, Sooyoung Jang, Sungjoo Kang, Changbeom Choi
- Issue Date
- 2025-09
- Citation
- SoftwareX, v.31, pp.1-7
- ISSN
- 2352-7110
- Publisher
- Elsevier
- Language
- English
- Type
- Journal Article
- 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.
- KSP Keywords
- Discrete Event(DE), Domain-specific, Simulation Environment, Simulation software, computational cost, discrete event simulation(DES), execution time, separation of concerns
This work is distributed under the term of Creative Commons License (CCL)
(CC BY NC)
(CC BY NC)
