Patents by Inventor Lijie Wen

Lijie Wen 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).

  • Patent number: 11853801
    Abstract: The present disclosure relates to a plug-in for enhancing resource elastic scaling of a distributed data flow and a method for enhancing a plug-in for enhancing resource elastic scaling of a distributed data flow. The plug-in is connected to a scaling controller used for resource elastic scaling of a distributed data flow. The plug-in includes a decision maker, a decision model, and a scaling operation sample library. The scaling controller registers a data flow to the plug-in through a first interface. The scaling controller sends an optimal decision of resource scaling in each status to the plug-in through a second interface. The scaling operation sample library is configured to record the optimal decision of resource scaling in each status. The decision model is configured to predict a received data flow based on the optimal decision recorded in the scaling operation sample library, to generate a prediction decision.
    Type: Grant
    Filed: October 20, 2021
    Date of Patent: December 26, 2023
    Assignee: TSINGHUA UNIVERSITY
    Inventors: Lijie Wen, Zan Zong
  • Patent number: 11768712
    Abstract: The present disclosure relates to a method and system for optimizing a parameter configuration of a distributed computing job.
    Type: Grant
    Filed: October 20, 2021
    Date of Patent: September 26, 2023
    Assignee: TSINGHUA UNIVERSITY
    Inventors: Lijie Wen, Zan Zong
  • Publication number: 20230129969
    Abstract: The present disclosure relates to a plug-in for enhancing resource elastic scaling of a distributed data flow and a method for enhancing a plug-in for enhancing resource elastic scaling of a distributed data flow. The plug-in is connected to a scaling controller used for resource elastic scaling of a distributed data flow. The plug-in includes a decision maker, a decision model, and a scaling operation sample library. The scaling controller registers a data flow to the plug-in through a first interface. The scaling controller sends an optimal decision of resource scaling in each status to the plug-in through a second interface. The scaling operation sample library is configured to record the optimal decision of resource scaling in each status. The decision model is configured to predict a received data flow based on the optimal decision recorded in the scaling operation sample library, to generate a prediction decision.
    Type: Application
    Filed: October 20, 2021
    Publication date: April 27, 2023
    Inventors: Lijie Wen, Zan Zong
  • Publication number: 20230042890
    Abstract: The present disclosure relates to a method and system for optimizing a parameter configuration of a distributed computing job.
    Type: Application
    Filed: October 20, 2021
    Publication date: February 9, 2023
    Inventors: Lijie Wen, Zan Zong