From Ambient Sensing to IoT-based Context Computing: An Open Framework for End to End QoC Management

被引:10
作者
Marie, Pierrick [1 ]
Desprats, Thierry [1 ]
Chabridon, Sophie [2 ]
Sibilla, Michelle [1 ]
Taconet, Chantal [2 ]
机构
[1] Univ Toulouse 3, IRIT, UMR 5505, F-31062 Toulouse, France
[2] Telecom SudParis, Inst Mines Telecom, CNRS, SAMOVAR,UMR 5157, F-91011 Evry, France
关键词
Quality of Context; quality criterion; context management; meta-modeling; information model; QUALITY; INTERNET; THINGS;
D O I
10.3390/s150614180
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Quality of Context (QoC) awareness is recognized as a key point for the success of context-aware computing. At the time where the combination of the Internet of Things, Cloud Computing, and Ambient Intelligence paradigms offer together new opportunities for managing richer context data, the next generation of Distributed Context Managers (DCM) is facing new challenges concerning QoC management. This paper presents our model-driven QoCIM framework. QoCIM is the acronym for Quality of Context Information Model. We show how it can help application developers to manage the whole QoC life-cycle by providing genericity, openness and uniformity. Its usages are illustrated, both at design time and at runtime, in the case of an urban pollution context- and QoC-aware scenario.
引用
收藏
页码:14180 / 14206
页数:27
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