Research on Server Fault Prediction Based on Artificial Intelligence

The concept of fault monitoring system, as the name suggests, is for fault monitoring and detection. Server failure monitoring refers to the system to set monitoring thresholds, you can view in real time, grasp the normal work of the server and the state of failure and when needed, you can query at any time, call the monitoring records. Server failure detection, from the concept of Baidu: failure monitoring system refers to the use of a variety of inspection methods, testing methods, to find the system or equipment whether there is a failure problem detection activities to determine the location of the failure. Fault detection and fault location actually have similar characteristics, they both exist in the network system category, the requirements of the fault location point will be found, give accurate analysis and repair, so as to achieve fault isolation or repair, in order to better run the equipment or system. The process of diagnosing faults is the process of detecting fault problems and isolating them. In this paper, we have studied the prediction of faults in servers based on the foundation of Artificial Intelligence algorithms. The research in this paper provides some research basis and research theory guidance for cross-disciplinary research.