@article{HenklerOberthuerGieseetal.2011,
  author    = {Henkler, Stefan and Oberthuer, Simon and Giese, Holger and Seibel, Andreas},
  title     = {Model-driven runtime resource predictions for advanced mechatronic systems with dynamic data structures},
  series = {Computer systems science and engineering},
  volume    = {26},
  journal   = {Computer systems science and engineering},
  number    = {6},
  publisher = {IOP Publ. Ltd.},
  address   = {Leicester},
  issn      = {0267-6192},
  pages     = {505 -- 518},
  year      = {2011},
  abstract  = {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.},
  language  = {en}
}
@article{GieseHenklerHirsch2011,
  author    = {Giese, Holger and Henkler, Stefan and Hirsch, Martin},
  title     = {A multi-paradigm approach supporting the modular execution of reconfigurable hybrid systems},
  series = {Simulation : transactions of the Society for Modeling and Simulation International},
  volume    = {87},
  journal   = {Simulation : transactions of the Society for Modeling and Simulation International},
  number    = {9},
  publisher = {Sage Publ.},
  address   = {London},
  issn      = {0037-5497},
  doi       = {10.1177/0037549710366824},
  pages     = {775 -- 808},
  year      = {2011},
  abstract  = {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.},
  language  = {en}
}
@misc{GieseHenklerHirsch2017,
  author    = {Giese, Holger and Henkler, Stefan and Hirsch, Martin},
  title     = {A multi-paradigm approach supporting the modular execution of reconfigurable hybrid systems},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-402896},
  pages     = {34},
  year      = {2017},
  abstract  = {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, M ECHATRONIC 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.},
  language  = {en}
}