State-Based Generalized Autonomic Computing Models

As computing systems grow rapidly,they are becoming more and more complex and hard for administrators to modify configurations and deal with emergencies. A generalized autonomic computing model is proposed to reduce the manual administration work by increasing self-configuration and adjustment of the systems.By summarizing the states of the systems,the state transformations are analyzed and marked statistically.Self-configuration,self-recovery,self-optimization and self-protection functions are realized to enable autonomic computing.The results show that with the proposed approach,the system can configure itself and manage the resource properly without manual intervention from the administrator.