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System operation and maintenance data collection and analysis method, device and system

A technology for operation and maintenance data, collection and analysis, applied in the field of system operation and maintenance, it can solve the problems of inability to adjust the system, poor flexibility, and adapt to system load, etc., to achieve the effect of excellent flexibility, elimination of human intervention, and strong versatility

Inactive Publication Date: 2020-05-29
CHENGDU SEFON SOFTWARE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to provide a method, device and system for collecting and analyzing system operation and maintenance data, which solves the problem that the monitoring of existing operation and maintenance systems is generally realized by artificially setting the threshold of each parameter, and the threshold range of the setting is generally According to experience, it cannot be adjusted for each system to better adapt to the system load, and the problem of poor flexibility

Method used

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  • System operation and maintenance data collection and analysis method, device and system
  • System operation and maintenance data collection and analysis method, device and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] A method for collecting and analyzing system operation and maintenance data, establishing a decision tree model of system WMI data, and using the established decision tree model to analyze the collected system WMI data. This system will collect data of Windows devices based on Windows Management Specification WMI, including CPU performance, hardware device information, memory information, service information, process information and other data. Model, form a predictive model, and find out the equipment information or service information with the best performance.

Embodiment 2

[0041] In this embodiment, on the basis of Embodiment 1, the WMI data includes at least one of CPU performance, hardware device information, memory information, service information, and process information.

[0042] Further, the output of the decision tree model of the WMI data includes normal operation and abnormal error reporting.

[0043] Further, the output of the decision tree model of the WMI data also includes the best state.

Embodiment 3

[0045] In this embodiment, further on the basis of Embodiment 1, the method for establishing a decision tree model of system WMI data includes the following steps:

[0046] S1. Determine the output of the decision tree model of the WMI data, and mark and classify the data of each category in the WMI data;

[0047] S2. Taking all records in the WMI data as a node;

[0048]S3. Traverse each division method of each category in the node, find the division method with the largest information gain ratio, and divide the node to obtain child nodes;

[0049] S4. Recursively execute step S3 for each child node until the purity of each child node meets the preset requirement to obtain a decision tree model of WMI data.

[0050] The division of the decision tree model can use three indices:

[0051] Entropy: The lower the entropy value, the more orderly the system; the higher the entropy value, the more chaotic the system;

[0052] Information gain and information gain ratio: the diffe...

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Abstract

The invention discloses a system operation and maintenance data collection and analysis method, device and system, and the method comprises the steps: building a decision tree model of system WMI data, and employing the built decision tree model to analyze the collected WMI data of a system. According to the system, the data of the Windows equipment is acquired on the basis of a Windows managementspecification WMI, wherein the data comprises CPU performance, hardware equipment information, memory information, service information, process information and the like, modeling is realized according to the collected data of different pieces of equipment based on a decision tree model to form a prediction model, and the running state of a monitored system is judged according to the prediction result of the prediction model. The problems that monitoring of an existing operation and maintenance system is generally achieved by manually setting thresholds of all parameters, the set threshold range is generally obtained according to experience, adjustment cannot be conducted on each system so as to better adapt to system loads, and flexibility is poor are solved.

Description

technical field [0001] The invention relates to the field of system operation and maintenance, in particular to a method, device and system for collecting and analyzing system operation and maintenance data. Background technique [0002] Operation and maintenance refers to the operation and maintenance of each stage of the life cycle of the network, server and service to ensure the stability, availability and cost controllability of the system. Operation and maintenance responsibilities run through the product lifecycle, and an automated and intelligent platform is needed to help operation and maintenance engineers complete user-oriented service delivery and service quality assurance at the lowest cost and fastest speed. The operation and maintenance platform is mainly developed by the R&D engineers of the operation and maintenance platform after understanding the business requirements, mainly including: machine management, resource management, network management, infrastruc...

Claims

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Application Information

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IPC IPC(8): G06F11/34G06K9/62
CPCG06F11/3476G06F18/24323
Inventor 查文宇张艳清王纯斌张永飞殷腾蛟
Owner CHENGDU SEFON SOFTWARE CO LTD
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