Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Data flow fluctuation threshold range setting method and device

A data flow and range setting technology, applied in the direction of data exchange network, digital transmission system, electrical components, etc., can solve the problem of inaccurate data flow monitoring, and achieve the effect of avoiding subjective interference and accurate alarm

Active Publication Date: 2019-10-29
TENCENT TECH (SHENZHEN) CO LTD
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the embodiment of the present invention expects to provide a method and device for setting the fluctuation threshold range of data flow, which can at least solve the existing technical problems such as inaccurate monitoring of data flow

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
  • Data flow fluctuation threshold range setting method and device
  • Data flow fluctuation threshold range setting method and device
  • Data flow fluctuation threshold range setting method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] In order to solve technical problems such as inaccurate monitoring of existing data flow, this embodiment provides a method for setting the fluctuation threshold range of data flow, such as figure 1 As shown, a data traffic monitoring method in this embodiment includes:

[0028] S101: Classify the waveform type of the current data according to the historical data of the current data to obtain waveform type information;

[0029] The historical data of the current data can reflect the characteristics of the current data itself. According to this characteristic, the waveform type classification of the current data can be carried out, which lays the foundation for the accuracy of the fluctuation threshold range setting of the current data.

[0030] S102: Set a fluctuation threshold range of the current data according to the waveform type information and historical data flow information of the current data; the fluctuation threshold range is used to trigger an alarm of the c...

Embodiment 2

[0091] This embodiment provides a data traffic monitoring method, including:

[0092] Step S201: collecting the flow value of the current data;

[0093] The current data in this embodiment may be data such as website visits, or other data that can be characterized by traffic values ​​(or amplitudes). The basis for setting the fluctuation threshold range when collecting the flow value of the current data is usually to assume that the flow value of the current data does not belong to the flow value in the alarm state. The collection method is real-time collection, such as reading the flow value of the current data through the data monitor.

[0094] Step S202: Using the method for setting the fluctuation threshold range of data flow described in Embodiment 1 to set the fluctuation threshold range;

[0095] The fluctuation threshold range setting method in Embodiment 1 can accurately set the fluctuation threshold range according to the characteristics of the current data itself. T...

Embodiment 3

[0098] This embodiment and Embodiment 1 belong to the same inventive concept, and this embodiment provides a data flow fluctuation threshold range setting device, such as figure 2 As shown, the device includes:

[0099] A data classification unit 301, configured to classify the waveform type of the current data according to the historical data of the current data to obtain waveform type information;

[0100] The historical data of the current data can reflect the characteristics of the current data itself. According to this characteristic, the waveform type classification of the current data can be carried out, which lays the foundation for the accuracy of the fluctuation threshold range setting of the current data.

[0101] The fluctuation threshold range setting unit 302 is configured to set the fluctuation threshold range of the current data according to the waveform type information and the historical data flow information of the current data; the fluctuation threshold ra...

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 discloses a method for setting a fluctuation threshold range of data traffic. The method comprises the steps of carrying out classification on waveform types of current data according to historical data of the current data so as to acquire waveform type information, and setting a fluctuation threshold range of the current data according to the waveform type information and historical data traffic information. Meanwhile, the invention further discloses a data traffic monitoring method, a device for setting the fluctuation threshold range of the data traffic and a data traffic monitoring system.

Description

technical field [0001] The invention relates to the technical field of data monitoring, in particular to a method and device for setting a fluctuation threshold range of data flow. Background technique [0002] The traditional traffic monitoring platform analyzes the data traffic and judges according to the preset threshold value. If it exceeds the range, an alarm process is initiated. This type of monitoring is called threshold monitoring, which is the mainstream practice in the traffic monitoring industry at present. For example, to monitor the failure rate of a website, set the monitoring threshold to 0-10% in advance, and when the monitoring system finds that the failure rate of a certain section exceeds 10%, it will send an alarm. [0003] From the perspective of data analysis, threshold monitoring is a static analysis method for data flow. This method does not dynamically compare with the previous and subsequent time points, which often leads to false or no reporting b...

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 Patents(China)
IPC IPC(8): H04L12/26H04L12/24
Inventor 余豪阳
Owner TENCENT TECH (SHENZHEN) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products