py2PowerDEVS: Construction and Manipulation of Large Complex Structures for PowerDevs Models via Python Scripting

As the disciplines of modeling and simulation evolve and become more efficient, the complexity of the scientific applications that can be tackled by simulation modeling continue to increase. The approach of building complex models through the composition and interconnection of modular units of behav...

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Vydáno v:Proceedings - Winter Simulation Conference s. 2594 - 2605
Hlavní autoři: Pecker-Marcosig, Ezequiel, Bonaventura, Matias, Lanzarotti, Esteban, Santi, Lucio, Castro, Rodrigo
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 11.12.2022
Témata:
Behavioral sciences
Biological system modeling
Buildings
Complexity theory
Data models
Ecosystems
Mechanical systems
ISSN:1558-4305
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Shrnutí:As the disciplines of modeling and simulation evolve and become more efficient, the complexity of the scientific applications that can be tackled by simulation modeling continue to increase. The approach of building complex models through the composition and interconnection of modular units of behavior has been a key factor in this success. However, very often complexity entails a significant growth in the size and intricacy on the structure of simulation models. In this paper we confer new capabilities for building models with large complex structures to PowerDEVS, an established C++-based simulation toolkit for the DEVS formalism, that has typically based its modular modeling experience on a Graphical User Interface. We present py2PowerDEVS, a Python framework that seamlessly integrates pre-built modular PowerDEVS components into the powerful and growing ecosystem of Python scripting, enabling the algorithmic design of large complex PowerDEVS model structures. We demonstrate the use of py2PowerDEVS in three scientific application domains: data networks, geographical virus spread and mechanical systems.
ISSN:1558-4305
DOI:10.1109/WSC57314.2022.10015479