Research on Network Traffic Forecasting Strategy Based on BP Neural Network

Abstract

resources efficiently. In this study, we propose a network traffic forecasting strategy based on BP neural network (BP-NTF). First, we analyse the characteristics of network traffic and establish traffic forecasting methods based on BP neural network, then modeling and forecasting the time series of network traffic data; Second, we construct three module, namely, data collection, data processing and traffic forecasting; Last, we use the strong memory and the learning ability of BP neural network to shortterm forecast the network traffic .This model can provide a basis for network monitoring and management and has high application value and very wide meaning.