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Towards Meta-adaptation of Dynamic Adaptive Systems with Models@Runtime

Sammendrag

A models@runtime environment keeps a model in synchrony with a running system, this way a reasoning engine adapts the system by modifying this model. Existing models@runtime environments typically fail to let the user control what concepts form the model nor how the model is synchronised with the running system. This is yet mandatory in uncertain environments that are open, dynamic and heterogeneous. In this position paper we evolve the classical models@runtime architectural pattern to address this issue, together with some initial implementation results.
Les publikasjonen

Kategori

Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Oppdragsgiver

  • EC/H2020 / 680478
  • EC/H2020 / 645372

Språk

Engelsk

Forfatter(e)

  • Nicolas Ferry
  • Franck Chauvel
  • Hui Song
  • Arnor Solberg

Institusjon(er)

  • SINTEF Digital / Sustainable Communication Technologies

År

2017

Forlag

SciTePress

Bok

Proceedings of the 5th International Conference on Model-Driven Engineering and Software Development, Port, Portugal, February 19-21, 2017

ISBN

978-989-758-210-3

Side(r)

503 - 508

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