An Intelligent Complex Event Processing with D-S Evidence Theory in IT Centralized Monitoring

For the mass events monitored from IT infrastructures, it is critical that how to use them effectively to get more valuable information is critical, especially for the large-scale enterprises, application performance issues have an immediate impact on customers' experience and satisfaction. The challenge is that the systems are under uncertain and dynamic operating conditions, so it is difficult to identify the complex critical situations from the large numbers of various events. The existing complex event processing (CEP) systems cannot solve the problem efficiently, in this paper, we propose an intelligent approach to solve the complex event correlation. Combining the CEP with Dempster-Shafer (D-S) evidence theory method, we can find the anomalies timely and locate the root cause automatically. It offers leverage by considering the real-time and accuracy in detecting events.