TY  - JOUR
A1  - Giese, Holger
A1  - Henkler, Stefan
A1  - Hirsch, Martin
T1  - A multi-paradigm approach supporting the modular execution of reconfigurable hybrid systems
JF  - Simulation : transactions of the Society for Modeling and Simulation International
N2  - Advanced mechatronic systems have to integrate existing technologies from mechanical, electrical and software engineering. They must be able to adapt their structure and behavior at runtime by reconfiguration to react flexibly to changes in the environment. Therefore, a tight integration of structural and behavioral models of the different domains is required. This integration results in complex reconfigurable hybrid systems, the execution logic of which cannot be addressed directly with existing standard modeling, simulation, and code-generation techniques. We present in this paper how our component-based approach for reconfigurable mechatronic systems, MECHATRONIC UML, efficiently handles the complex interplay of discrete behavior and continuous behavior in a modular manner. In addition, its extension to even more flexible reconfiguration cases is presented.
KW  - code generation
KW  - hybrid systems
KW  - reconfigurable systems
KW  - simulation
Y1  - 2011
U6  - https://doi.org/10.1177/0037549710366824
SN  - 0037-5497
VL  - 87
IS  - 9
SP  - 775
EP  - 808
PB  - Sage Publ.
CY  - London
ER  - 
TY  - JOUR
A1  - Henkler, Stefan
A1  - Oberthuer, Simon
A1  - Giese, Holger
A1  - Seibel, Andreas
T1  - Model-driven runtime resource predictions for advanced mechatronic systems with dynamic data structures
JF  - Computer systems science and engineering
N2  - The next generation of advanced mechatronic systems is expected to enhance their functionality and improve their performance by context-dependent behavior. Therefore, these systems require to represent information about their complex environment and changing sets of collaboration partners internally. This requirement is in contrast to the usually assumed static structures of embedded systems. In this paper, we present a model-driven approach which overcomes this situation by supporting dynamic data structures while still guaranteeing that valid worst-case execution times can be derived. It supports a flexible resource manager which avoids to operate with the prohibitive coarse worst-case boundaries but instead supports to run applications in different profiles which guarantee different resource requirements and put unused resources in a profile at other applications' disposal. By supporting the proper estimation of worst case execution time (WCET) and worst case number of iteration (WCNI) at runtime, we can further support to create new profiles, add or remove them at runtime in order to minimize the over-approximation of the resource consumption resulting from the dynamic data structures required for the outlined class of advanced systems.
KW  - Model-Driven Engineering
KW  - Safety Critical Systems
KW  - Dynamic Data Structures
KW  - Flexible Resource Manager
KW  - Runtime WCET Analysis
Y1  - 2011
SN  - 0267-6192
VL  - 26
IS  - 6
SP  - 505
EP  - 518
PB  - IOP Publ. Ltd.
CY  - Leicester
ER  -