The thesis addresses the problem of interferences in multi-application pervasive systems. It analyzes the general problem and presents a coordination framework to manage interferences at runtime. Based on context information, interferences are detected and are resolved through a coordinated application adaptation.
Pervasive applications are designed to support users in their daily life. For this purpose, applications interact with their environment, i.e. their context. They are able to adapt themselves to context changes or to explicitly change the context via actuators. If multiple applications are executed in the same context, interferences are likely to occur. To manage interferences, a coordination framework is presented in this thesis. Interferences are detected using a context model and information about applications’ interaction with the context. The resolution of interference is achieved through a coordinated application adaptation. The thesis introduces the theoretical concepts, presents a prototypical implementation and evaluates the prototype through extensive measurements.
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