Title
From Ambient Sensing to IoT-based Context Computing: An Open Framework for End to End QoC Management
Abstract
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.
Year
DOI
Venue
2015
10.3390/s150614180
SENSORS
Keywords
Field
DocType
Quality of Context,quality criterion,context management,meta-modeling,information model
Acronym,Data science,Context management,Computer science,End-to-end principle,Ambient intelligence,Internet of Things,Knowledge management,Openness to experience,Electronic engineering,Information model,Cloud computing
Journal
Volume
Issue
Citations 
15
6.0
4
PageRank 
References 
Authors
0.46
18
5
Name
Order
Citations
PageRank
Pierrick Marie1253.77
Thierry Desprats27116.66
Chabridon, S.313818.95
Michelle Sibilla4299.07
Chantal Taconet59813.07