Extending Ambient Intelligence to the Internet of Things: New Challenges for QoC Management
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.
Keywordsquality of context quality criterion context management meta-modeling information model
Unable to display preview. Download preview PDF.
- 3.Bellavista, P., Corradi, A., Fanelli, M., Foschini, L.: A Survey of Context Data Distribution for Mobile Ubiquitous Systems. ACM Computing Surveys 44(4), 24:1–24:45 (2012)Google Scholar
- 4.Buchholz, T., Schiffers, M.: Quality of context: What it is and why we need it. In: Proceedings of the 10th Workshop of the OpenView University Association (2003)Google Scholar
- 6.Neisse, R.: Trust and Privacy Management Support for Context-Aware Service Platforms. Ph.D. thesis, University of Twente, Enschede (2012)Google Scholar
- 7.Sheikh, K., Wegdam, M., Van Sinderen, M.: Middleware support for quality of context in pervasive context-aware systems. In: Pervasive Computing and Communications Workshops (2007)Google Scholar