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

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 gen...

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Detalles Bibliográficos
Autores principales: Marie, Pierrick, Desprats, Thierry, Chabridon, Sophie, Sibilla, Michelle, Taconet, Chantal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4507707/
https://www.ncbi.nlm.nih.gov/pubmed/26087372
http://dx.doi.org/10.3390/s150614180
Descripción
Sumario: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.