@InProceedings{Vogel-ICAC09,
  AUTHOR = {Vogel, Thomas and Neumann, Stefan and Hildebrandt, Stephan
  and Giese, Holger and Becker, Basil},
  TITLE = {{Model-Driven Architectural Monitoring and Adaptation for
  Autonomic Systems}},
  YEAR = {2009},
  MONTH = {June},
  BOOKTITLE = {Proceedings of the 6th IEEE/ACM International Conference on
  Autonomic Computing and Communications (ICAC 2009), Barcelona, Spain},
  PAGES = {67-68},
  PUBLISHER = {ACM},
  URL = {http://dx.doi.org/10.1145/1555228.1555249},
  ABSTRACT = {Architectural monitoring and adaptation allows
  self-management capabilities of autonomic systems to realize more
  powerful adaptation steps, which observe and adjust not only parameters
  but also the software architecture. However, monitoring as well as
  adaptation of the architecture of a running system in addition to
  the parameters are considerably more complex and only rather limited
  and costly solutions are available today. In this paper we propose
  a model-driven approach to ease the development of architectural
  monitoring and adaptation for autonomic systems. Using meta models and
  model transformation techniques, we were able to realize an incremental
  synchronization between the run-time system and models for different
  self-management activities. The synchronization might be triggered
  when needed and therefore the activities can operate concurrently.}
}