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Context data management is a challenging task in context aware application development. Highly dynamic data coming from distributed providers has to be acquired, processed, managed and stored in order to provide applications with real time up to date context data. A lot of work has been done in the area of Contextual Computing, proposing several architectures and frameworks. However, none of them...
This paper considers autonomic applications to systems for which continuous perfect monitoring of state is not possible. We use sophisticated exact-state observers to provide enhanced information about the system state. In order that we can achieve optimal configuration of the autonomic controller itself over a wide range of environmental operating conditions, and across a wide range of unique application...
The intelligent interaction is an important supporting technique for achieving the merging of the information space and physical space in the internet of things. For now there isn 't a general architecture of the intelligent interaction in the environment of the internet of things. In this paper, we propose an intelligent interaction architecture based on the context merging in the internet of things...
Nowadays one can observe rapid development of various technologies supporting autonomic features and context-awareness of pervasive systems. And this is perfectly understandable as these features effectively increase the systems autonomicity. However, in the case of safety-critical realtime systems it becomes crucial to determine how the entire system performance is affected by the growth in complexity...
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