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

被引：3

作者：

Ferry, Nicolas ^{[1
]}

Chauvel, Franck ^{[1
]}

Song, Hui ^{[1
]}

Solberg, Arnor ^{[1
]}

机构：

[1] SINTEF, Oslo, Norway

来源：

MODELSWARD: PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON MODEL-DRIVEN ENGINEERING AND SOFTWARE DEVELOPMENT | 2017年

关键词：

Model-driven Engineering; Models@runtime; Dynamic Adaptive Systems; RUN.TIME;

D O I：

10.5220/0006225905030508

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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.

引用

页码：503 / 508

页数：6

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