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

A fault classification and monitoring system technology, applied in the computer field, can solve problems such as the inability to guarantee the stability and security of the data center equipment, the inability to guarantee the normal operation of the business, and the inability to find the cause of the failure.

Inactive Publication Date: 2017-10-13
ZHENGZHOU YUNHAI INFORMATION TECH CO LTD
View PDF2 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Defect classifying method and defect classifying device for data center monitoring system
  • Defect classifying method and defect classifying device for data center monitoring system
  • Defect classifying method and defect classifying device for data center monitoring system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0071] In order to facilitate the understanding of those skilled in the art, the embodiments of the present invention will be further described below in conjunction with the accompanying drawings, which cannot be used to limit the protection scope of the embodiments of the present invention.

[0072] In order to achieve the above purpose, an embodiment of the present invention proposes a fault classification method for a data center monitoring system, such as figure 1 As shown, the method includes S101-S102:

[0073] S101. Construct an input matrix of the network according to the monitoring status of each monitoring item in the monitoring resource.

[0074] In the embodiment of the present invention, in order to avoid the phenomenon that the cloud cannot be quickly found after the current data center equipment fails, thereby affecting the normal operation of various services, the embodiment of the present invention proposes a data center based on backpropagation BP neural netw...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/30G06N3/08
CPCG06F11/3006G06F11/3058G06F11/3065G06N3/084
Inventor 段谊海刘成平李锋
Owner ZHENGZHOU YUNHAI INFORMATION TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap