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

Nicolas Ferry, Franck Chauvel, Hui Song, Arnor Solberg

2017

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.

Paper Citation

in Harvard Style

Ferry N., Chauvel F., Song H. and Solberg A. (2017). Towards Meta-adaptation of Dynamic Adaptive Systems with Models@Runtime . In Proceedings of the 5th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD, ISBN 978-989-758-210-3, pages 503-508. DOI: 10.5220/0006225905030508

in Bibtex Style

@conference{modelsward17,
author={Nicolas Ferry and Franck Chauvel and Hui Song and Arnor Solberg},
title={Towards Meta-adaptation of Dynamic Adaptive Systems with Models@Runtime},
booktitle={Proceedings of the 5th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,},
year={2017},
pages={503-508},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006225905030508},
isbn={978-989-758-210-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,
TI - Towards Meta-adaptation of Dynamic Adaptive Systems with Models@Runtime
SN - 978-989-758-210-3
AU - Ferry N.
AU - Chauvel F.
AU - Song H.
AU - Solberg A.
PY - 2017
SP - 503
EP - 508
DO - 10.5220/0006225905030508