Extending Ambient Intelligence to the Internet of Things: New Challenges for QoC Management

Pierrick Marie (1) , Thierry Desprats (1, 2) , Sophie Chabridon (3, 4) , Michelle Sibilla (1)

1 IRIT-SIERA - Service IntEgration and netwoRk Administration
2 UT3 - Université Toulouse III - Paul Sabatier
3 SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux
4 CNRS - Centre National de la Recherche Scientifique

Quality of Context (QoC) awareness is recognized as a key point for the success of context-aware computing solutions. At a time where the Internet of Things, Cloud Computing, and Ambient Intelligence paradigms bring together new opportunities for more complex context computation, the next generation of Multiscale Distributed Context Managers (MDCM) is facing new challenges concerning QoC management. This paper presents how our QoCIM framework 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.

Mots clés: Quality of context; Quality criterion; Context management; Information model; Meta-modeling

Domaines: Réseaux et télécommunications [cs.NI]; Système d'exploitation [cs.OS]; Architectures Matérielles [cs.AR]; Systèmes embarqués

Pierrick Marie, Thierry Desprats, Sophie Chabridon, Michelle Sibilla. Extending Ambient Intelligence to the Internet of Things: New Challenges for QoC Management. International Conference on Ubiquitous Computing and Ambient Intelligence - UCAmI 2014, Dec 2014, Belfast, United Kingdom. pp. 224-231. ⟨hal-01148836⟩