Classification of Multi-level Simulation Approaches
| Typ | Masterarbeit | |
|---|---|---|
| Aushang | ClassificationMultiLevelSimulationApproaches.pdf | |
| Betreuer | Wenden Sie sich bei Interesse oder Fragen bitte an: Sebastian Weber (E-Mail: sebastian.weber@fzi.de, Telefon: +49-721-9654-622) |
Motivation
Simulation is a well established tool for the analysis of systems in a multitude of domains. Such a simulation is performed on a model of the system. As an example, an architect can use a model of a skyscaper to perform a structural analysis to ensure the building won't collapse. Depending on the granularity of the model and the analysis the accuracy and runtime can vary immensely. When looking at complex and heterogeneous systems, e.g. from the automotive domain with AI-based autonomous driving, the desired granularity and with it the trade-off between accuracy and runtime can vary between different components of the system. Multi-level simulation allows to model and simulate different components on different levels of granularity. Despite being used in multiple domains the proposed concepts and approaches are specialized and hardly reuseable in other domains. To enable the development of reusable concepts and approaches, this thesis collects, structures and classifies existing ones across various domains.
Task
- Conduct a systematic literature review of multi-level simulation approaches
- Derive a classification scheme, e.g. domain, coupling, reuse
- Classify the approaches according to the classification scheme
- Investigate research gaps and analyze the transferability of the approaches
Benefits
- Introduction to systematic literature review process
- Close connection to ongoing research projects
- Opportunity to contribute to a scientific publication
- Excellent working environment and intensive support (German or English)