Name
Abstract | ||
|---|---|---|
In order to accurately predict future states of a smart cyber-physical system, which can change its behavior to a large degree in response to environmental influences, the existence of precise models of the system and its surroundings is demandable. In machine engineering, ultra-high fidelity simulations have been developed to better understand both constraints in system design and possible consequences of external influences during the system's operation. These digital twins enable further applications in software design for complex cyber-physical systems as online planning methods can utilize good simulations to continuously optimize the system behavior, yielding a software architecture framework based on the information flow between the cyber-physical system, its physical environment and the digital twin model. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ICAC.2016.29 | 2016 IEEE International Conference on Autonomic Computing (ICAC) |
Keywords | Field | DocType |
simulation-based architecture,smart cyber-physical system,machine engineering,ultra-high fidelity simulation,software design,online planning methods,software architecture framework,information flow,digital twin model | Applications architecture,Computer science,Systems design,Software system,Cyber-physical system,Reference architecture,Systems architecture,Software architecture,Resource-oriented architecture,Distributed computing | Conference |
ISSN | ISBN | Citations |
2474-0756 | 978-1-5090-1655-6 | 12 |
PageRank | References | Authors |
0.80 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Gabor | 1 | 23 | 4.13 |
| Lenz Belzner | 2 | 46 | 13.59 |
| Marie Kiermeier | 3 | 12 | 1.14 |
| Michael Beck | 4 | 549 | 25.12 |
| Alexander Neitz | 5 | 12 | 1.14 |