Unlock instant, AI-driven research and patent intelligence for your innovation.

Mobile network performance early warning pre-judging method based on trend extrapolation clustering

A mobile network and trend extrapolation technology, which is applied in the field of early warning and prediction of mobile network performance, can solve the problems of large influence of prediction results, large errors, and easy errors.

Inactive Publication Date: 2015-06-24
DALIAN UNIV OF TECH
View PDF4 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This prediction method is more accurate for certain points after the prediction. If the number of prediction points is large, the error will be large, and if the latest sequence is predicted to be abnormal, it will have a greater impact on the prediction results and is prone to errors.

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
  • Mobile network performance early warning pre-judging method based on trend extrapolation clustering
  • Mobile network performance early warning pre-judging method based on trend extrapolation clustering
  • Mobile network performance early warning pre-judging method based on trend extrapolation clustering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] The present invention will be further described below in conjunction with accompanying drawing.

[0058] Such as figure 1 As shown, a mobile network performance early warning and prediction method based on trend extrapolation clustering includes the following steps:

[0059] Step 1. Use trend extrapolation and K center point clustering algorithm to calculate the early warning threshold of each performance index.

[0060] The dynamically obtained historical data of mobile network performance indicators is used to calculate the early warning thresholds of each performance indicator by using trend extrapolation and K center point clustering algorithm. This method calculates the early warning thresholds once a day, specifically including the following sub-steps:

[0061] (1) Obtain historical data of mobile network performance indicators; dynamically acquire historical data of mobile network performance indicators. There can be multiple mobile network performance indicator...

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 mobile network performance early warning pre-judging method, in particular to a mobile network performance early warning pre-judging method based on trend extrapolation clustering. The method comprises the following steps that 1, trend extrapolation and a K center point clustering algorithm are utilized for calculating early warning thresholds of all performance indexes; 2, early warning and pre-judging of time granularity are calculated in real time to obtain the pre-judging change. The method can solve the problem that due to abnormal points of historical data, the early warning thresholds are inaccurate, the trend change can be reflected, the early warning thresholds can be more accurate, multiple pieces of early warning information are gathered into one piece of pre-judging according to the network topology, the pre-judging change can be reflected, and the performance change situation of a network can be reflected on the whole.

Description

technical field [0001] The present invention relates to a mobile network performance early warning and pre-judgment method, more specifically, to a mobile network performance early warning and pre-judgment method based on trend extrapolation and clustering. Background technique [0002] The mobile operator has carried out real-time monitoring on the network operation equipment, and each equipment will regularly generate monitoring data for a period of time for query and analysis. Current mobile network anomaly analysis generally includes two methods: one is: after discovering a network fault, query historical monitoring data and analyze the cause of the fault. This method generally has a certain hysteresis, that is, the cause can only be analyzed after the failure occurs, and then maintenance can be carried out. The second is: set the early warning threshold of each performance index, and monitor each current performance index in real time. If the index is found to exceed t...

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
IPC IPC(8): H04W24/04
CPCH04W24/04
Inventor 解永平李凯涛
Owner DALIAN UNIV OF TECH