Risk Prediction System based on Risk Prediction Model with Complex Event Processing Risk Prediction in Real Time on complex event processing engine

System failure mainly arises from various reasons. It would most likely become an immediate cause of accident. It is difficult to predict system failure in real-time, since it is hard to detect which subsystem caused the whole system failure. To track the system failure in real-time, we have to recognize immediately the failure of each subsystem. In this paper, we propose new a risk prediction model and risk prediction system architecture to trace the failure of system in real-time by using fault tree analysis (FTA) on complex event processing (CEP) engine. We shall show our new risk prediction model efficiently enables CEP system to predict the risk before any undesired event occurs, and to prevent disaster, accident and disease in advance.