A Design Guideline for Adaptation Decisions in the Autonomic Loop

Abstract

Autonomic computing has received great attention as a solution for the increasing complexity of today’s self-adaptive systems. In this kind of systems, the decision to ensure the most suitable autonomic application’s adaptation according to context is very important. In the literature, several research activities propose decision approaches and frameworks within the MAPE-K autonomic loop for adaptation. However, there is a lack of guidelines to design adaptation decisions. Such guidelines are required to assist the designers of autonomic applications and unify existing decision approaches. In this work, we propose a design guideline for adaptation decisions and an instantiation of this guideline in the case study Smart Building.