Incremental Model Synchronization for Efficient Run-time Monitoring (bibtex)
Reference:
Thomas Vogel, Stefan Neumann, Stephan Hildebrandt, Holger Giese, Basil Becker, "Incremental Model Synchronization for Efficient Run-time Monitoring", in Nelly Bencomo, Gordon Blair, Robert France, Cedric Jeanneret, Freddy Munoz, Eds., Proceedings of the 4th International Workshop on Models@run.time at the 12th IEEE/ACM International Conference on Model Driven Engineering Languages and Systems (MoDELS 2009), Denver, Colorado, USA, vol. 509 of CEUR Workshop Proceedings, pp. 1-10, CEUR-WS.org, October 2009, (best paper).
Abstract:
The model-driven engineering community has developed expressive model transformation techniques based on meta models, which ease the specification of translations between different model types. Thus, it is attractive to also apply these techniques for autonomic and self-adaptive systems at run-time to enable a comprehensive monitoring of their architectures while reducing development efforts. This requires special solutions for model transformation techniques as they are applied at run-time instead of their traditional usage at development time. In this paper we present an approach to ease the development of architectural monitoring based on the incremental model synchronization with triple graph grammars. We show that the provided incremental synchronization between a running system and models for different self-management capabilities provides a significantly better compromise between performance and development costs than manually developed solutions.
Links:
@InProceedings{VogelMRT09,
  AUTHOR = {Vogel, Thomas and Neumann, Stefan and Hildebrandt, Stephan
  and Giese, Holger and Becker, Basil},
  TITLE = {{Incremental Model Synchronization for Efficient Run-time
  Monitoring}},
  YEAR = {2009},
  MONTH = {October},
  BOOKTITLE = {Proceedings of the 4th International Workshop on
  Models@run.time at the 12th IEEE/ACM International Conference on
  Model Driven Engineering Languages and Systems (MoDELS 2009), Denver,
  Colorado, USA},
  VOLUME = {509},
  PAGES = {1-10},
  EDITOR = {Bencomo, Nelly and Blair, Gordon and France, Robert and
  Jeanneret, Cedric and Munoz, Freddy},
  SERIES = {CEUR Workshop Proceedings},
  PUBLISHER = {CEUR-WS.org},
  URL = {http://ceur-ws.org/Vol-509/paper_8.pdf},
  ABSTRACT = {The model-driven engineering community has developed
  expressive model transformation techniques based on meta models,
  which ease the specification of translations between different
  model types. Thus, it is attractive to also apply these techniques
  for autonomic and self-adaptive systems at run-time to enable a
  comprehensive monitoring of
  their architectures while reducing development efforts. This requires
  special solutions for model transformation techniques as they are
  applied at run-time instead of their traditional usage at development
  time. In this paper we present an approach to ease the development of
  architectural
  monitoring based on the incremental model synchronization with triple
  graph grammars. We show that the provided incremental synchronization
  between a running system and models for different self-management
  capabilities provides a significantly better compromise between
  performance and development costs than manually developed solutions.},
  NOTE = {(best paper)}
}
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