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

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

Category
Part of a book/report
Abstract
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.
Client
  • EC/H2020 / 680478
  • EC/H2020 / 645372
Language
English
Affiliation
  • SINTEF ICT / Nettbaserte systemer og tjenester
Year
2017
Publisher
SciTePress
Book
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
Page(s)
503 - 508