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NETWORK TRAFFIC PREDICTION METHOD, DEVICE, AND ELECTRONIC DEVICE

机译:网络流量预测方法,设备和电子设备

摘要

Embodiments of the present disclosure relate to the technical field of Internet. The present disclosure provides a network traffic prediction method, an apparatus and an electronic device. In the present disclosure, the network traffic prediction method includes establishing a higher-level network traffic prediction model, where the higher-level network traffic prediction model includes a linear model; using independent variables of the linear model in the higher-level network traffic prediction model as dependent variables, establishing at least one layer of a lower-level network traffic prediction model, and decomposing independent variables in the lower-level network traffic prediction model till all independent variables of each lower-level network traffic prediction model are acquired naturally; and substituting a calculation model of the lower-level network traffic prediction model into the higher-level network traffic prediction model to obtain a complete network traffic prediction model. In such way, network traffic may be predicted through a multiple layer network traffic prediction model, and the influence of different service level variables on bandwidth values may be explored, thereby more accurately predicting the bandwidth values of customer network traffic.
机译:本公开的实施例涉及互联网技术领域。本公开提供了一种网络流量预测方法,装置和电子设备。在本公开中,网络流量预测方法包括建立更高级别的网络流量预测模型,其中更高级别的网络流量预测模型包括线性模型;在较高级别的网络流量预测模型中使用线性模型的独立变量作为依赖变量,建立至少一层较低级别的网络流量预测模型,并在较低级别的网络流量预测模型中分解独立变量直至所有自然地获取每个较低级别的网络流量预测模型的独立变量;并将较低级别的网络流量预测模型的计算模型替换为更高级别的网络流量预测模型,以获得完整的网络流量预测模型。以这种方式,可以通过多层网络流量预测模型预测网络流量,并且可以探索不同服务级别变量对带宽值的影响,从而更准确地预测客户网络流量的带宽值。

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