Network transmission control optimization method based on traffic demand

A technology for network transmission and traffic requirements, applied in the field of control optimization, it can solve problems such as no related issues, and achieve the effect of improving efficiency

Pending Publication Date: 2021-11-30
STATE GRID FUJIAN ELECTRIC POWER CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the advent of the intelligent age, more and more jobs and related businesses can be acquired and processed through traffic and network equipment. At the same time, the application objects of network transmission are not limited to office workers and factories. And shopping malls, and it is used in various fields of life, such as the elderly’s vibrato, our daily video chat, etc., will be applied to the transmission of network data. However, due to different time periods and groups of people, the demand for traffic There is a big difference, but there is no related technology, and different controls are carried out according to the traffic demand to achieve the optimal transmission mode

Method used

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  • Network transmission control optimization method based on traffic demand
  • Network transmission control optimization method based on traffic demand
  • Network transmission control optimization method based on traffic demand

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Experimental program
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Effect test

Embodiment 1

[0037] In this embodiment, the key steps of the network transmission control optimization method based on traffic demand are mainly introduced.

[0038] Refer to the attached figure 1 As shown, the network transmission control optimization method based on traffic demand includes:

[0039] Network device traffic forecasting: Borrow historical traffic data of network devices to train the network device traffic forecasting model, and obtain the trained network device traffic forecasting model;

[0040] Specifically, in this step, a network device traffic prediction model can be constructed with the help of machine learning algorithms or neural networks, and the model can be trained using historical network device traffic data, so as to realize real-time and accurate prediction of network device traffic.

[0041] Link network traffic: According to the statistical algorithm, the traffic data in the idle time period is eliminated from the historical data, and then the threshold of ...

Embodiment 2

[0049] In this embodiment, the acquisition of link network traffic is mainly introduced.

[0050] Further, in the link network traffic step, the traffic data in the idle time period specifically includes: obtaining the traffic data in the idle time period according to value distribution characteristics and / or statistical index analysis.

[0051] In this embodiment, in order to avoid some idle time periods, the network data flow is relatively low. If it is added to the prediction, it will cause the increase of impurities in the prediction data and increase the error. Therefore, it is necessary to perform corresponding elimination in a targeted manner.

[0052] Specifically, the thresholds of the network traffic of each link are solved by using the 3sigma criterion and / or a box diagram.

[0053] In this embodiment, one or more methods are used to solve the threshold value, and then different strategies can be adopted in a targeted manner, so as to realize multiple processing metho...

Embodiment 3

[0065] Further, in the control step of the network transmission, the prediction of the traffic in the local area network within a certain period of time in the future is specifically: using the traffic of the network equipment based on the random forest algorithm, the prediction model is used to predict the traffic in the local area network for a certain period of time in the future Forecast, get the forecasted traffic.

[0066] In this embodiment, by setting a threshold and comparing it with the predicted predicted value, the predicted traffic of the local area network can be obtained directly, and then when the obtained traffic is overloaded, the flow is limited and diverted to realize unblocking.

[0067] Specifically, the current limiting and diverting are specifically, when the predicted traffic is higher than the threshold, the retroactive current limiting method is used to realize the control of network transmission.

[0068] In this embodiment, the most original data c...

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PUM

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Abstract

The invention discloses a network transmission control optimization method based on a traffic demand, and the method comprises the steps: network equipment traffic prediction: training a network equipment traffic prediction model through the historical traffic data of network equipment, and obtaining a trained network equipment traffic prediction model; link network traffic: according to a statistical algorithm, eliminating the traffic data in idle time periods in historical data to obtain a threshold value of the network traffic of each link; controlling network transmission: predicting the flow in the local area network in a certain time period in the future, and reducing the flow in the network channel in overload operation through a flow limiting and flow guiding method when the network channel of the local area network is in overload operation; and network transmission optimization: optimizing network transmission by adopting a mode of optimizing a link of a long-term overload network channel and / or expanding the capacity of a scene with a high width requirement. Through optimization, the flow transmission speed is improved, and the use efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of control optimization in network transmission, and in particular relates to a network transmission control optimization method based on traffic demand. Background technique [0002] With the advent of the intelligent age, more and more jobs and related businesses can be acquired and processed through traffic and network equipment. At the same time, the application objects of network transmission are not limited to office workers and factories. And shopping malls, and it is used in various fields of life, such as the elderly’s vibrato, our daily video chat, etc., will be applied to the transmission of network data. However, due to different time periods and groups of people, the demand for traffic There is a big difference, but there is no related technology, and different controls are carried out according to the traffic demand, so as to realize the optimal transmission mode. SUMMARY OF THE INVENTION ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24H04L12/26G06N3/04G06N3/08G06N20/00
CPCH04L41/0677H04L41/147H04L41/0823H04L41/142H04L43/08H04L43/0888G06N3/04G06N3/08G06N20/00
Inventor 吴飞罗财富吴树霖陈倩沈立翔陈少钦温丽清
Owner STATE GRID FUJIAN ELECTRIC POWER CO LTD
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