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Network traffic prediction method and device

A technology of network traffic and flow, applied in data exchange networks, digital transmission systems, electrical components, etc., can solve problems such as poor accuracy of prediction results

Active Publication Date: 2020-04-17
RUIJIE NETWORKS CO LTD
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, due to the use of a single prediction model in the current solution to predict network traffic, the accuracy of the prediction results is poor

Method used

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  • Network traffic prediction method and device
  • Network traffic prediction method and device

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Embodiment Construction

[0091] In order to make the purpose, technical solution and advantages of the application clearer, the application will be further described in detail below in conjunction with the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the 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.

[0092] The shape and size of each component in the drawings do not reflect the real scale, and the purpose is only to illustrate the content of the present application.

[0093] In the following, some terms used in the embodiments of the present application are explained, so as to facilitate the understanding of those skilled in the art.

[0094] (1) In this embodiment of the application, the egress gateway device is a core gateway device, such as a gateway device in a...

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Abstract

The invention discloses a network traffic prediction method and device, and the method comprises the steps: enabling the prediction device to obtain a prediction network flow sequence of a second timeperiod after a first time period according to all prediction models pre-stored in a historical network flow sequence training model library of exit gateway equipment in a first time period; and updating the prediction model of at least one sub-time period according to the actual network flow of at least one sub-time period in the second time period of which the network flow error value is greaterthan the preset threshold when judging that the predicted network flow sequence does not meet the expected target based on a comparison result between the actual network flow sequence in the second time period and the predicted network flow sequence. Through the mode, the prediction device can train the prediction model corresponding to the sub-time period according to the historical network flowcorresponding to different sub-time periods, so the accuracy of predicting the network flow of exit gateway equipment by the prediction device can be improved, and the actual use requirements of users and operators are met.

Description

technical field [0001] This application relates to the technical field of combining machine learning and big data, especially a method and device for predicting network traffic. Background technique [0002] The user's online experience is closely related to the traffic load of the network equipment and the performance of the network equipment. If the bandwidth reaches the performance bottleneck of the network equipment, it will affect the user experience. With the rapid growth of network scale and Internet applications, predicting the changing trend of network equipment traffic or bandwidth usage, and making early warnings before reaching network equipment performance bottlenecks are of great significance to users' overall network planning and network upgrades. [0003] Traditional business traffic forecasting usually uses linear programming algorithms, but network traffic usually does not increase linearly, but shows significant periodic changes, accompanied by potentially...

Claims

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Application Information

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IPC IPC(8): H04L12/24H04L12/26
CPCH04L43/0876H04L41/145H04L41/147
Inventor 邱超凡
Owner RUIJIE NETWORKS CO LTD
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