Server Failure Detection Based on Isolation Forest and Decision Tree
Server is an important infrastructure of modern Internet.Its stable operation is related to the reliability of various ap-plication systems;and its health management is of great significance.Fault detection is an important tool for server health manage-ment.The server fault detection detects the abnormal state of the server by collecting the server state and analyzing the collected da-ta.Because normal data accounts for most of the data collected by the server;the data is extremely unbalanced;and common classi-fication algorithms are difficult to converge.Therefore;a server failure detection method based on isolation forest and decision tree is studied.Relying on the isolated forest algorithm;this paper detects abnormal points in the server status data;and then classifies the detected abnormal points through the decision tree algorithm to obtain the fault type.Server failure detection is implemented.
万方数据
维普
