@InProceedings{HOGS10,
  AUTHOR = {Henkler, Stefan and Oberthur, Simon and Giese, Holger and
  Seibel, Andreas},
  TITLE = {{Model-Driven Runtime Resource Predictions for Advanced
  Mechatronic Systems with Dynamic Data Structures}},
  YEAR = {2010},
  MONTH = {5-6 May},
  BOOKTITLE = {Proceedings of 13th IEEE International Symposium on
  Object/component/service-oriented Real-time distributed computing},
  ORGANIZATION = {IEEE},
  PUBLISHER = {IEEE Computer Society Press},
  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 the complex environment and changing sets
  of collaboration partners internally. This requirement is in contrast
  to the usually assumed static structures for 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 management 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.}
}