Method and device for predicting flow trend based on historical flow and storage medium

Abstract

The invention provides a method and device for predicting a flow trend based on a historical flow and a storage medium, and the method comprises the steps: reading historical flow data information, wherein the historical flow data comprises actual flow data of a plurality of historical unit time periods, and the actual flow data of the plurality of historical unit time periods is correlated; determining effective historical flow data information; and determining predicted flow data of a predicted unit time period, wherein the predicted flow data of the predicted unit time period is associatedwith the actual flow data of the plurality of historical unit time periods. Invalid historical flow data is eliminated, the influence of the invalid historical abnormal flow data on a calculation result is eliminated, a prediction time point is determined, flow data is predicted, and therefore flow prediction accuracy can be improved.

Description

Technical field: [0001] The present invention relates to the communication field, in particular to a method, device and storage medium for predicting traffic trends based on historical traffic. Background technique: [0002] With the development of network communication technology, there are more and more types of network traffic data and services, and people's demand for network traffic is increasing day by day. Network traffic forecasting is helpful for analyzing network security status, scientifically managing the network and preventing improper network behaviors. Existing technologies generally use the following two methods for forecasting: [0003] 1. Read the historical flow data at the same minute point t in the previous n days, and then calculate the arithmetic mean value of the flow rate at the t-minute point in the previous n days, and use this value as a simple forecast value of the t-minute point flow rate on the n+1 day; [0004] 2. Read the historical traffic ...

AI Technical Summary

Problems solved by technology

[0005] The two technical solutions mentioned above did not consider the processing of historical abnormal traffic data when performing traffic forecasting calculations. The participation of these abnormal traffic data in traffic forecasting calculations will lead to a large deviation between the calculation results and normal traffic, and eventually lead to traffic forecasting. Inaccurate;

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