Model-Driven Approach for Self-Aware Pervasive Systems

被引：0

作者：

Gerbert-Gaillard, Eva ^{[1
]}

Chollet, Stephanie ^{[2
]}

Lalanda, Philippe ^{[1
]}

机构：

[1] Univ Grenoble Alpes, LIG, F-38041 Grenoble, France

[2] Univ Grenoble Alpes, LCIS, F-26900 Valence, France

来源：

2016 IEEE/ACIS 15TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE (ICIS) | 2016年

关键词：

Pervasive computing; self-awareness; model-driven engineering; service-oriented computing;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Pervasive computing vision considers the growing concentration of small computers merged into everyday objects to enhance environment with added-value services. In this vision computing systems are numerous, heterogeneous, and dynamic, yet seamlessly integrated. The complexity of pervasive environments can lead to conflicts between systems, but it can also be a strength if systems manage to collaborate. They need to understand and reason about their objectives, capabilities and environment. This paper investigates the definition and the relevancy of self-awareness for leveraging collaboration in pervasive environment, with a model-driven approach.

引用

页码：879 / 884

页数：6

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