Link traffic prediction method and device, and electronic equipment

Abstract

The embodiment of the invention provides a link flow prediction method and a device, and electronic equipment. The method comprises the following steps: firstly, performing de-noising on actual link traffic of a communication link to be tested in a plurality of time periods to obtain de-noised link traffic; and adjusting model parameters in the flow prediction model according to the denoised linkflow of the multiple time periods, so that the adjusted flow prediction model predicts the predicted link flow of the to-be-measured time period after the multiple time periods when meeting model optimization conditions. Therefore, the accuracy of the prediction result is improved.

Description

technical field [0001] The present application relates to the technical field of big data, and in particular, relates to a link traffic prediction method, device and electronic equipment. Background technique [0002] With the rapid development of the network, the services provided by the Internet are becoming more and more diversified, which makes the traffic carried by the communication links in various networking more and more. Therefore, it is very important to intelligently control the traffic of the communication links . [0003] In order to accurately control the traffic of the communication link, it is usually necessary to predict the traffic of the controlled communication link. At present, some machine learning models are mainly used to predict the traffic of communication links, but the implementation of these machine learning models is relatively complicated, and the accuracy of the prediction results needs to be improved. Contents of the invention [0004] I...

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Problems solved by technology

At present, some machine learning models are mainly used to predict the traffic of communication links, but the implementatio

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