Modeling and simulation of large-scale systems: A systematic comparison of modeling paradigms

Schweiger, G.; Nilsson, H.; Schoeggl, J.; Birk, W.; Posch, A.

Abstract

A trend across most areas where simulation-driven development is used is the ever increasing size and complexity of the systems under consideration, pushing established methods of modeling and simulation towards their limits. This paper complements existing surveys on large-scale modeling and simulation of physical systems by conducting expert surveys. We conducted a two-stage empirical survey in order to investigate research needs, current challenges as well as promising modeling and simulation paradigms. Furthermore, we applied the analytic hierarchy process method to prioritise the strengths and weakness of different modeling paradigms. The results of this study show that experts consider acausal modeling techniques to be suitable for modeling large scale systems, while causal techniques are considered less suitable.

Citation

Schweiger, G., Nilsson, H., Schoeggl, J., Birk, W., & Posch, A. (2020). Modeling and simulation of large-scale systems: A systematic comparison of modeling paradigms. Applied Mathematics and Computation, 365, Article 124713. https://doi.org/10.1016/j.amc.2019.124713

• Journal Article Type: Article
• Acceptance Date: Sep 1, 2019
• Online Publication Date: Sep 13, 2019
• Publication Date: Jan 15, 2020
• Deposit Date: Sep 4, 2020
• Publicly Available Date: Sep 14, 2020
• Journal: Applied Mathematics and Computation
• Print ISSN: 0096-3003
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 365
• Article Number: 124713
• DOI: https://doi.org/10.1016/j.amc.2019.124713
• Keywords: Applied Mathematics; Computational Mathematics
• Public URL: https://nottingham-repository.worktribe.com/output/4882033
• Publisher URL: https://www.sciencedirect.com/science/article/abs/pii/S0096300319307052?via%3Dihub
• Additional Information: This article is maintained by: Elsevier; Article Title: Modeling and simulation of large-scale systems: A systematic comparison of modeling paradigms; Journal Title: Applied Mathematics and Computation; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.amc.2019.124713; Content Type: article; Copyright: © 2019 Elsevier Inc. All rights reserved.