An implementation framework for self-adaptive systems based on agent behaviors description

The complexity of current software systems requires the ability to adapt at run-time, and the development of self-adaptive systems is one of the recent challenges for realizing dynamic adaptation. In this paper, we focus on the adaptation based on the components connection as a fundamental adaptation, and present our implementation framework for constructing self-adaptive systems on the basis of an agent platform. We reinforce the agent platform by adding some application program interface for behavior cooperation and its autonomic activation, and connect the behaviors with components in self-adaptive systems. We also introduce an implementation guideline: a way to identify the responsibilities for control loops and implementation patterns for these responsibilities. We also demonstrate the effectiveness of our framework and guideline through the results from our implementation experiments and show how they can be used to construct self-adaptive systems by using agent platforms.