Model-driven Engineering for the Configuration and Deployment of Data Processing Applications

被引：0
|
作者：
Song, Hui [1 ]
Ferry, Nicolas [1 ]
Hogenes, Jakob [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
基金：
欧盟地平线“2020”;
关键词：
Big Data; Model-driven Engineering;
D O I：
10.5220/0006266505230528
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This position paper reports our current endeavour towards a model-driven engineering framework to support the dynamic configuration and deployment of complex data processing applications. In particular, our approach includes a domain-specific modelling language that abstracts the data processing tasks and at the same time exposes the control of how these tasks are deployed on specific platforms and resources. A modelling framework of model transformation and models@runtime engines realises the semi-automatic configuration and deployment of the applications based on the abstract models.
引用
收藏
页码：523 / 528
页数：6
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