Hybrid Inference Architecture and Model for Self-healing System

Distributed computing systems are continuously increasing in complexity and cost of managing, and system management tasks require significantly higher levels of autonomic management. In distributed computing, system management is changing from a conventional central administration, to autonomic computing. However, most existing research focuses on healing after a problem has already occurred. In order to solve this problem, an inference model is required to recognize operating environments and predict error occurrence. In this paper, we proposed a hybrid inference model

• Type: Conference
• Year: 2006
• Where: APNOMS
• Authors: Giljong Yoo, Jeongmin Park, Eunseok Lee
• Keywords: APNOMS 2006, Autonomic Computing, Computer Networks, Hybrid Inference Model, Inference Model