The design of an autonomic computing model and the algorithm for decision-making

Autonomic computing is regarded as a good method to resolve the problems, such as the continuous increase in the cost of IT and the complication of management. In order to realize the characteristics of self-configuration, self-optimization, self-healing and self-protection effectively, it is urgent to construct a qualified model of autonomic computing. Obviously, making decision by itself is one of the most crucial abilities for autonomic elements. In view of these problems, an autonomic computing model is designed. For realizing autonomic decision-making, the concepts of behavioral rule, matching degree of two behavioral conditions and so on are defined, and some related questions are also discussed. Then, according to the model, an algorithm for autonomic decision-making based on behavioral rules is presented. Finally, the simulation results illustrate that the algorithm is effective.