Dynamic threshold analysis method for operation index of IT system

A technology of dynamic thresholds and operation indicators, applied in the field of IT operation and maintenance, can solve the problems of human experience error and impossible configuration, and achieve the effect of small calculation amount, accurate analysis, and improved monitoring coverage and accuracy.

Inactive Publication Date: 2015-04-22
北京广通优云科技股份有限公司
View PDF5 Cites 29 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Traditional operating index analysis techniques often use artificially established static thresholds for monitoring and analysis, which has human experience errors
And a large-scale IT system can contain as many as tens of thousands of various software and hardware indicators, so it is even more impossible to use static rules to artificially configure reasonable static rules for these indicators

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
  • Dynamic threshold analysis method for operation index of IT system
  • Dynamic threshold analysis method for operation index of IT system
  • Dynamic threshold analysis method for operation index of IT system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0017] Embodiment: The IT system operating index dynamic threshold analysis method described in the present invention utilizes the operating law characteristics of the performance index to calculate the normal value interval at the current time point, and generates a dynamic threshold baseline to judge whether the current operating state is normal. The invention can effectively judge the running state of some performance indicators in the IT environment, realize automatic learning ability, and reduce manual configuration and analysis work when implementing large-scale IT monitoring.

[0018] figure 1 It is the operation flowchart of the following modules, describing the data flow direction; the present invention involves 4 modules in total: an index receiving module, a dynamic threshold analysis module, a monitoring display module, and an alarm notification module. 1. The indicator receiving module provides a standard data interface, completes the receiving preprocessing of th...

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

The invention relates to a dynamic threshold analysis method for an operation index of an IT (Information Technology) system. The method comprises the following steps of: 1, inquiring historical change conditions of the operation index; 2, calculating a normal value interval R of the index under the current time granularity on the basis of a normal distribution principle, wherein the upper limit of the normal value interval is marked as an RU, and the lower limit of the normal value interval is marked as an RD; 3, connecting the RUs of all time granularities to be used as a dynamic threshold upper base line, and connecting the RDs to be used as a dynamic threshold lower base line; and 4, judging newly collected operation indexes under the current time granularity, wherein if the newly collected operation index is greater than the RU, the condition is the too-high-value abnormity, and if the newly collected operation index is lower than the RD, the condition is the too-low-value abnormity. The dynamic threshold analysis method has the beneficial effects that defects of a static threshold are overcome; and the historical operation rule of the operation index is intelligently studied, the normal value range of the operation index in different time points is calculated, and the dynamic threshold base lines are generated to be used for the monitoring and the analysis of the operation index. The dynamic threshold analysis method has the beneficial effects that mass manual operation is not needed; the calculation quantity is small; and the analysis is accurate, so that the operation and maintenance labor cost can be greatly reduced, and the monitoring coverage range and the accuracy are improved.

Description

technical field [0001] The invention relates to the field of IT operation and maintenance, and mainly relates to a dynamic threshold analysis method for an IT system operation index. Background technique [0002] IT system operation status monitoring is an indispensable part of the development of modern informatization construction. It provides operation and maintenance personnel with 7x24 hours of IT system operation status information, real-time monitoring of fault points and timely and accurate early warning, which is very important for reducing IT System operation and maintenance costs, to achieve its long-term stable operation is of great help. [0003] The operating status of an IT system is often reflected in its various software and hardware operating indicators, including the underlying network traffic to the high-level business transaction volume. After these operating indicators are collected, further analysis is required to determine the operating health status ...

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): G06F11/30
Inventor 蒋君伟刘东海张宜凡
Owner 北京广通优云科技股份有限公司
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