A survey on engineering approaches for self-adaptive systems (extended version)

The complexity of information systems is increasing in recent years, leading to increased effort for maintenance and configuration. Self-adaptive systems (SASs) address this issue. Due to new computing trends, such as pervasive computing, miniaturization of IT leads to mobile devices with the emerging need for context adaptation. Therefore, it is beneficial that devices are able to adapt context. Hence, we propose to extend the definition of SASs and include context adaptation. This paper presents a taxonomy of self-adaptation and a survey on engineering SASs. Based on the taxonomy and the survey, we motivate a new perspective on SAS including context adaptation

Configuration Management for Proactive Adaptation in Pervasive Environments

Pervasive computing applications have to adapt in order to cope with changes in their environment. Proactive adaptation allows to change the application and/ or the context based on prediction of context and user behavior, in order to reduce adaption delay and provide a seamless service to the user. Thus, such applications are self-organizing systems. Ideally, self-organizing systems adapt by changing their structure or behavior without requiring the user's intervention. A prerequisite to that is the knowledge of the possible configurations and their order with respect to the suitability. We introduce a comprehensive framework based on an application model with suitability and cost metrics. Based on the application model, we construct a CSP and develop an algorithm with two heuristics that finds all configurations. We rate the configurations depending on their expected instantiation using novel utility and cost functions. In the evaluation, we show the feasibility of our approach