Method and device for detecting network performance abnormity, equipment and storage medium

A network performance and abnormality technology, which is applied in the direction of data exchange network, digital transmission system, electrical components, etc., can solve the problems of automatic and real-time detection of abnormal KPI, etc., and achieve the effect of improving user experience, improving network performance, and optimizing network

Active Publication Date: 2019-09-24
ZTE CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, when looking for KPIs with abnormal performance manually, because the KPI types reach tens of thousands of orders of magnitude, and the current KPI anomaly detection method has a delay, it cannot detect abnormal KPIs automatically and in real time. Therefore, the abnormal KPI detection method must find new way

Method used

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  • Method and device for detecting network performance abnormity, equipment and storage medium
  • Method and device for detecting network performance abnormity, equipment and storage medium
  • Method and device for detecting network performance abnormity, equipment and storage medium

Examples

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Effect test

Embodiment 1

[0022] figure 1 It is a schematic flow diagram of a method for detecting abnormal network performance provided by an embodiment of the present invention, as shown in figure 1 As shown, the method includes:

[0023] Step S101: Using the historical data of the KPI used to characterize the network performance, determine the confidence interval of the KPI.

[0024] Specifically, the historical data of the KPI of the object to be detected is used to determine the mean value and residual interval of the historical data of the KPI, and the confidence interval of the KPI is determined using the mean value and residual interval. For example, the sum of the mean value and the upper limit of the residual interval is determined as the upper limit of the confidence interval of the KPI; the sum of the mean value and the lower limit of the residual interval is determined as the KPI The lower bound of the confidence interval for .

[0025] Wherein, the object to be detected refers to a sit...

Embodiment 2

[0039] The present invention may also provide a storage medium on which is stored a program for detecting abnormal network performance, and when the program for detecting abnormal network performance is executed by a processor, the steps of the above-mentioned method for detecting abnormal network performance are implemented. Wherein, the processor may be but not limited to a CPU, and the storage medium may be but not limited to one or a combination of two or more storage devices such as ROM, RAM, magnetic disk, optical disk or U disk.

Embodiment 3

[0041] figure 2 is a block diagram of a device for detecting abnormal network performance provided by an embodiment of the present invention, such as figure 2 As shown, the device includes:

[0042] The first determination module is used to determine the confidence interval of the KPI by using the historical data of the key performance indicator KPI used to characterize the network performance;

[0043] A real-time data acquisition module, configured to monitor the KPI and acquire real-time data of the KPI; and

[0044] The second determination module is configured to determine whether the KPI is normal by using the confidence interval and the real-time data.

[0045] The workflow of the device includes: the first determination module acquires the historical data of KPI, and determines the mean value and residual interval of the historical data of the KPI, and then uses the mean value and residual interval to determine the confidence interval of the KPI . The real-time dat...

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Abstract

The invention discloses a method and a device for detecting network performance abnormity, equipment and a storage medium, and relates to the field of computers and communication. The method comprises the following steps: determining a confidence interval of a KPI by using historical data of a key performance index KPI for representing network performance; monitoring the KPI to obtain real-time data of the KPI; and determining whether the KPI is normal or not by using the confidence interval and the real-time data. According to the embodiment of the invention, operation and maintenance personnel can observe the current network state anytime and anywhere, obtain abnormal information immediately and adjust the network in time, so that the network always keeps the optimal state.

Description

technical field [0001] The invention relates to the fields of computers and communications, in particular to a method, device, equipment and storage medium for detecting abnormal network performance. Background technique [0002] Whether a KPI (Key Performance Indicator, key performance indicator) is good or not is an important indicator to measure the quality of a wireless network. [0003] There are many performance data that affect KPIs. According to the KPIs, the operation and maintenance personnel can find the configuration parameters that affect the abnormalities of the KPIs, and then adjust the parameters to optimize the network. Therefore, finding abnormal KPI data is an important condition for optimizing the network. [0004] However, when looking for KPIs with abnormal performance manually, because the KPI types reach tens of thousands of orders of magnitude, and the current KPI anomaly detection method has a delay, it cannot detect abnormal KPIs automatically and...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/26
CPCH04L43/08H04L43/0817H04L43/0823H04L43/16
Inventor 牛文升
Owner ZTE CORP
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