Patents by Inventor Wanwan KE

Wanwan KE has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Network traffic prediction method, apparatus, and electronic device
    Patent number: 11252044
    Abstract: 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.
    Type: Grant
    Filed: December 5, 2018
    Date of Patent: February 15, 2022
    Assignee: WANGSU SCIENCE & TECHNOLOGY CO., LTD.
    Inventors: Wanwan Ke, Qiantai Zhuang, Shaohui Lin, Yichao Chen, Yahong Zhang
  • NETWORK TRAFFIC PREDICTION METHOD, APPARATUS, AND ELECTRONIC DEVICE
    Publication number: 20210021482
    Abstract: 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.
    Type: Application
    Filed: December 5, 2018
    Publication date: January 21, 2021
    Inventors: Wanwan KE, Qiantai ZHUANG, Shaohui LIN, Yichao CHEN, Yahong ZHANG