A method and device for predicting traffic in a metropolitan area network
A forecasting method and technology for a metropolitan area network, which are applied in the field of forecasting methods and devices for metropolitan area network traffic, can solve problems such as inaccurate forecasting, and achieve the effect of improving accuracy
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Embodiment 1
[0023] The embodiment of the present application provides a method for predicting traffic of a metropolitan area network, such as figure 2 As shown, the prediction method of the traffic of the metropolitan area network comprises the following steps:
[0024] S201. For the direction from the core layer to the backbone network ①, the direction from the core layer to the provincial network ②, the direction from the core layer to the Internet data center network ③, and the direction from the core layer to the mobile Internet network ④, predict future traffic according to the historical traffic in each direction.
[0025] The historical traffic in each direction includes the traffic of the previous project in each direction, the traffic of the previous two projects in each direction, and the traffic of the previous three projects in each direction.
[0026] Exemplarily, the historical traffic of each direction may also be the traffic of the previous year in each direction, the tra...
Embodiment 2
[0076] The embodiment of the present application provides a device for predicting traffic of a metropolitan area network, such as image 3 As shown, the prediction device 30 includes: a calculation unit 1 31 and a calculation unit 2 32 .
[0077] Calculation unit one 31 is used to calculate the direction from the core layer to the backbone network ①, the direction from the core layer to the provincial network ②, the direction from the core layer to the Internet data center network ③, and the direction from the core layer to the mobile Internet network ④, according to the historical traffic of each direction Forecast future traffic.
[0078] Calculation unit 2 32 is used to calculate the direction from the core layer to the regional center of the content distribution network ⑤, the direction from the core layer to the service control layer device ⑥, the direction from the service control layer to the edge node of the content distribution network ⑦, and the direction ⑧ from the ...
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