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Network device performance monitoring method and network management system

A technology of network management system and network equipment, which is applied in network equipment performance monitoring method, network management system and network management field, and can solve problems such as not taking into account the changing trend and rising of system KPI indicators, and high risk of system operation

Inactive Publication Date: 2013-06-26
中国移动通信集团青海有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] (1) The traditional monitoring method based on the threshold value does not take into account the changing trend of the system KPI index. During the operation of the system, if the KPI index changes suddenly but has not reached the set threshold value, no alarm will be generated. , and at this time, it is actually necessary to attract the attention of the system maintenance personnel, and it is necessary to take proactive intervention measures to prevent the system KPI indicators from rising further
[0006] (2) The traditional threshold-based monitoring method is passive monitoring, and the alarm is issued after a situation occurs. At this time, the normal operation of the system may have been affected, and the purpose of active preventive monitoring cannot be achieved.
At this time, the alarm is difficult for customers to deal with, and the risk of system operation is relatively high.

Method used

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  • Network device performance monitoring method and network management system
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  • Network device performance monitoring method and network management system

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0061] Example 1: Near real-time pre-monitoring alarm

[0062] Taking the monitoring of the CPU utilization rate of network equipment and the time window length as 15 minutes as an example, the near-live pre-monitoring and alarm process may include:

[0063] Data is collected from traditional monitoring systems every 5 to 15 minutes, such as every 5, 10, or 15 minutes. Each time window is 15 minutes, so that one or more CPU usages of a network device can be collected in each time window, and the maximum value of the CPU usage collected in each time window is taken as the time window Summary value of CPU usage. Then take 8 time windows forward from the current time window, that is, take the CPU usage rate of the previous 2 hours, and the summary value of the CPU usage rate of the 8 time windows can be shown in Table 1.

[0064] Table 1

[0065] time

CPU usage (%)

20:00

73.2

20:15

72.1

20:30

74.3

20:45

...

example 2

[0084] Example 2: Medium and long-term pre-monitoring and warning

[0085] Taking the monitoring of the CPU usage of network devices and the time window length as one day as an example, the long-term pre-monitoring and alarm process may include:

[0086] Collect the CPU usage rate from the traditional monitoring system according to the set data collection cycle, for example, collect once every 5 minutes, 10 minutes or 15 minutes, and count the maximum value of the CPU usage rate collected in this time period every hour, and set The peak value of the CPU usage counted every hour within a day is averaged to obtain the peak value of the CPU usage of the day.

[0087] Then take the peak average value of CPU usage in 15 time windows forward from the current time window, that is, take the peak average value of CPU usage in the previous 15 days. The peak average value of CPU usage in the 15 time windows can be as follows figure 2 shown. Wherein, the peak average value of the daily...

example 3

[0093] Example 3: Long-term pre-monitoring alarm

[0094] Taking the monitoring of the CPU utilization rate of network equipment and the time window length as one month as an example, the long-term pre-monitoring and alarming process may include:

[0095] Collect the CPU usage rate from the traditional monitoring system according to the set data collection cycle, for example, collect once every 5 minutes, 10 minutes or 15 minutes, and count the maximum value of the CPU usage rate collected in this time period every hour, and set Average the peak value of the CPU usage counted every hour within a day to obtain the peak average value of the CPU usage rate for that day; average the peak value value of the CPU usage rate every day within a month to obtain the CPU usage rate for a month peak mean.

[0096] Then take the peak average value of CPU usage for 3 months forward from the current month, and the peak average value of CPU usage for the 3 months can be as follows Figure 4 ...

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Abstract

The invention discloses a network device performance monitoring method and a network management system. The network device performance monitoring method includes: the network management system acquires key performance indicator (KPI) data of a network device periodically; the acquired KPI data are summarized according to set time windows to obtain KPI data summarizing values of the time windows; a linear regression algorithm model is utilized, KPI data of future N time windows including the current time window are predicted according to KPI data summarizing values of N time windows before the current window; whether the KPI data of the further N time windows exceed a set alarm threshold value is judged; and a alarm is given out during yes judgment. The network device performance monitoring method and the network management system can achieve early warning according to KPI historical data.

Description

technical field [0001] The invention relates to network management technology in the communication field, in particular to a network equipment performance monitoring method and a network management system. Background technique [0002] During the booming development of the telecom industry, the business support system has played an increasingly important role in customer service, service provisioning, service guarantee, billing and accounting, forecasting and planning, etc. With the needs of market development, new With the continuous introduction of business, the business support system is constantly surpassing itself with the growth of the company, and the basic node that supports the normal operation of the system is the mainframe, and the security problems of the mainframe are becoming increasingly serious. [0003] The traditional host performance monitoring method is to monitor the KPI running on the host (KPI is called Key Performance Indicator, that is, key performan...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/26H04L12/24
Inventor 单建业刘武升王明昭石国章刘涛赵浩然邓小红
Owner 中国移动通信集团青海有限公司
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