A flexible context stabilization approach for self-adaptive application

Pervasive applications are characterized by variations in their context of execution. Their correct behavior requires continuous adaptations, accordingly to changes observed in their environment. Some of the existing approaches tackle this problem by adding stabilization mechanisms on the decision making layer. In most cases it remains costly for applications to trigger decision making procedures, specially when application changes frequency is potentially high. We believe that, to provide more flexible and efficient context-aware applications, stabilization issues should be addressed separately from decision making issues. In this paper, we present a flexible stabilization approach as an elegant solution to that problem.