摘要
服务器是现代互联网的重要基础设施,其稳定运行关系到各类应用系统的可靠性,对其进行健康管理有着重大意义,而故障检测是服务器健康管理的重要工具.服务器故障检测通过采集服务器状态并对采集数据进行分析,检测出服务器的异常状态.由于服务器采集的数据中,正常数据占绝大部分比例,数据极度不平衡,常见的分类算法难以收敛.因此,研究了一种基于孤立森林和决策树的服务器故障检测方法.依赖孤立森林算法检测出服务器状态数据中的异常点,然后对检测出的异常点通过决策树算法进行分类,得到故障类型.实现服务器的故障检测.
Abstract
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.
维普
万方数据