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A method for generating an alarm threshold, a method and a device for monitoring service performance indicators

A business performance and threshold technology, applied in the field of network management, can solve problems such as inaccurate alarm threshold alarms, and achieve the effect of timely and effective performance index mutation and enhanced effectiveness

Active Publication Date: 2018-09-25
CHINA MOBILE GRP BEIJING
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0015] In view of this, an embodiment of the present invention provides a method for generating an alarm threshold, a method and a device for monitoring service performance indicators, to solve the problem of inaccurate alarms caused by the alarm threshold obtained by using the dynamic threshold determination method in the prior art

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  • A method for generating an alarm threshold, a method and a device for monitoring service performance indicators
  • A method for generating an alarm threshold, a method and a device for monitoring service performance indicators
  • A method for generating an alarm threshold, a method and a device for monitoring service performance indicators

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Embodiment 1

[0064] Embodiment 1 of the present invention provides a method for generating an alarm threshold, the flow chart of which is as follows image 3 As shown, it specifically includes the following steps:

[0065] Step 300: Predict the current service performance index value according to each sample point in the historical sample space of the performance index and the prediction algorithm, and obtain the predicted base value; and execute step 301.

[0066] There are many kinds of prediction algorithms, such as moving average method, weighted average method, correlation regression algorithm, mathematical modeling, etc. In Embodiment 1 of the present invention, the characteristics of the performance index data to be monitored and the prediction algorithms themselves can be combined characteristics, choose an appropriate forecasting algorithm. Furthermore, based on the value of each sample point in the historical sample space of the performance index and the selected prediction algo...

Embodiment 2

[0093] Embodiment 2 of the present invention provides a method for monitoring service performance indicators, the flow chart of which is as follows Figure 4 As shown, it specifically includes the following steps:

[0094] Step 401: Generate an alarm threshold by using the method for generating an alarm threshold described in any one of the first embodiment.

[0095] Step 402: Compare the current service performance index value with the alarm threshold.

[0096]Step 403: Determine whether the current service performance index value is between the upper limit value and the lower limit value of the alarm threshold, if yes, perform step 404; if not, perform step 405.

[0097] Step 404: trigger an alarm, and jump to step 401.

[0098] Step 405: Add the current service performance index value into the historical sample data, and jump to step 401.

[0099] When the above judgment result is negative, step 405 is executed, which can effectively monitor the dynamic performance index...

Embodiment 3

[0103] Embodiment 3 of the present invention is based on selecting the number of AC online users of the WLAN performance index for testing. As an example, the alarm threshold generation method and the service performance index monitoring method of the embodiment of the present invention are described, which specifically includes the following steps:

[0104] Step 1: Predict the current performance index value based on the historical samples combined with the forecasting method to obtain the forecasted base value.

[0105] In order to improve the accuracy of calculating the forecast benchmark, the data can be preprocessed during the calculation, for example, the maximum and minimum values ​​in the historical sample data can be eliminated.

[0106] There are many forecasting methods to obtain the forecast base value, such as moving average method, weighted average method, correlation regression algorithm, mathematical modeling, etc. The following is an example of the moving avera...

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Abstract

The invention discloses a method and device for generating an alarm threshold value and a method and device for monitoring a service performance index. The method for generating the alarm threshold value comprises: forming a upper threshold value sample space with sample values greater than a predicted basic value and forming a lower threshold value sample space with sample values less than the predicted basic value on the basis of symmetric threshold values by using an asymmetric threshold value concept and using the predicted basic value as a reference; and according to the distribution of a sample with maximum degrees of deviation, performing secondary threshold value computation on the sample space without a maximum deviation sample so as to break a symmetric distribution characteristic of original dynamic threshold values and obtain a more reasonable alarm threshold value range. As a result, when being used for monitoring service performance, the method improves alarm accuracy and monitoring effectiveness and timely and effectively monitors a performance index abrupt change.

Description

technical field [0001] The invention relates to the technical field of network management, in particular to a method for generating an alarm threshold, a method and a device for monitoring service performance indicators. Background technique [0002] At present, network technology is more and more widely used, and many daily work and entertainment activities of people cannot do without the network. In order to improve the service quality of the network and meet people's needs for the network, network operators put forward higher requirements for network operation and maintenance. [0003] In the traditional maintenance mode, maintenance personnel mainly focus on equipment status. Judging whether a device is operating normally depends mainly on device alarms. However, customers are very sensitive to business perception. There are many problems in the traditional monitoring and maintenance mode centered on equipment status and based on network and equipment alarms. Failure ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/24H04L12/26
Inventor 李巍李欣武智晖杨金伟邹生根李静霍晓华毕旻
Owner CHINA MOBILE GRP BEIJING
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