Defect classifying method and defect classifying device for data center monitoring system

Abstract

An embodiment of the invention discloses a defect classifying method for a data center monitoring system. The method includes: constructing a network input matrix according to monitoring states of monitoring items in monitoring resources, and according to the input matrix, classifying the defects of the monitoring resources through a BP (back-propagation) neural network which is trained in advance. The embodiment of the invention further discloses a defect classifying device for the data center monitoring system. According to the defect classifying and the defect classifying device, stability and safety in operation of equipment in the data center can be guaranteed, and normal operation of various businesses can be guaranteed.

Description

technical field [0001] The embodiments of the present invention relate to the field of computer technology, and in particular to a fault classification method and device for a data center monitoring system. Background technique [0002] With the rapid development of the Internet, the data center carries various data collection, storage and analysis functions. Once the equipment fails, the staff needs to analyze the failure according to the alarm details of the monitored monitoring items. For experienced old employees It may be possible to quickly find the cause of the failure and solve it. For ordinary employees, it may not be possible to find the cause of the failure or it may take a long time to find the root cause of the failure. In this way, the stability and safety of the data center equipment cannot be guaranteed. Ensure the normal operation of various businesses. Contents of the invention [0003] In order to solve the above problems, the embodiments of the present...

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Problems solved by technology

[0002] With the rapid development of the Internet, the data center carries various data collection, storage and analysis functions. Once the equipment fails, the staff needs to analyze the failure according to the alarm details of the monitored monitoring items. For experienced old employees It may be possible to quickly find the cause of the failure and solve it. For ordinary employees, it may not be possible to find the cause of the failure or it may take a long time to find the root cause of the failure. In this way, the stability and safety of the data center equipment cannot be guaranteed. Ensure the normal operation of various businesses

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