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Modeling and simulation of large-scale systems: A systematic comparison of modeling paradigms
Graz University of Technology, Graz, Austria.
University of Nottingham, Nottingham, United Kingdom.
LuleåUniversity of Technology, Luleå, Sweden.
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2020 (English)In: Applied Mathematics and Computation, ISSN 0096-3003, E-ISSN 1873-5649, Vol. 365, article id 124713Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Elsevier Inc. , 2020. Vol. 365, article id 124713
Keywords [en]
Large-scale systems, Modeling, Physical-modeling, Simulation, Models, Surveys, Analytic hierarchy, Comparison of models, Large-scale modeling, Model and simulation, Modeling paradigms, Modeling technique, Physical model, Large scale systems
National Category
Computational Mathematics Other Computer and Information Science
Research subject
Applied and Computational Mathematics; Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-263432DOI: 10.1016/j.amc.2019.124713ISI: 000488954600001Scopus ID: 2-s2.0-85072168124OAI: oai:DiVA.org:kth-263432DiVA, id: diva2:1375576
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QC20191205

Available from: 2019-12-05 Created: 2019-12-05 Last updated: 2020-02-19Bibliographically approved

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Schöggl, Josef-Peter

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