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

Network traffic forecasting method, device, computer equipment and readable storage medium

A network traffic and prediction method technology, applied in the network field, can solve problems such as low accuracy of network traffic prediction results, inability to adapt to dynamic network topology, etc., and achieve the effect of improving accuracy

Active Publication Date: 2020-06-30
TSINGHUA UNIV
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, traditional network traffic prediction methods are only suitable for fixed networks with constant topology, and cannot adapt to dynamic network topologies, resulting in low accuracy of network traffic prediction results.

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
  • Network traffic forecasting method, device, computer equipment and readable storage medium
  • Network traffic forecasting method, device, computer equipment and readable storage medium
  • Network traffic forecasting method, device, computer equipment and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0045] The network traffic prediction method provided by the embodiment of this application can be applied to such as figure 1 In the network traffic forecasting system shown, the network traffic forecasting system may include network devices and a network management server. Optionally, the network device can be a computer, a hub, a switch, a bridge,...

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 present application provides a network traffic prediction method, device, computer equipment and readable storage medium. The method includes: using the target graph convolution network model to perform graph convolution on the network data to be processed, obtaining the graph convolution result, and performing graph convolution on the graph As a result, feature extraction is carried out to obtain the initial traffic feature prediction data of the network node, and the feature fusion process is carried out to the initial traffic feature prediction data to obtain the target traffic prediction data of the network node; this method can comprehensively consider the time characteristics of the network and the network Using spatial features to predict network traffic can improve the accuracy of prediction results.

Description

technical field [0001] The present application relates to the field of network technologies, in particular to a network traffic prediction method, device, computer equipment and readable storage medium. Background technique [0002] With the rapid development of Internet technology, its scale is increasing, the network structure is becoming more and more complex, and the business scale is becoming larger and larger, which makes the rational allocation of network resources very important. In order to achieve reasonable network resource allocation, guarantee business service quality, and analyze the health status of the network, evaluate the network carrying capacity and stability, it is necessary to effectively predict network traffic data. [0003] In traditional technologies, a linear or nonlinear model is established based on historical network data to realize network traffic prediction. However, traditional network traffic forecasting methods are only suitable for fixed ...

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): H04L12/24G06K9/62G06N3/04
CPCH04L41/147H04L41/142G06N3/045G06F18/253
Inventor 王剑杜军王景璟任勇
Owner TSINGHUA UNIV