Patents by Inventor Huan Da Wang

Huan Da Wang 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).

  • Machine-learning based heap memory tuning
    Patent number: 11340924
    Abstract: In an approach for JAVA Virtual Machine (JVM) heap memory tuning, one or more computer processors obtain a feature vector of an application running on the JVM. The one or more computer processors input the feature vector to a predictive model trained with historical application data collected in one or more production environments. The one or more computer processors receive an output of the predictive model based on the feature vector with at least one memory tuning recommendation for the JVM. The one or more computer processors tune the memory of the JVM based on the at least one memory tuning recommendation.
    Type: Grant
    Filed: June 27, 2019
    Date of Patent: May 24, 2022
    Assignee: International Business Machines Corporation
    Inventors: Hong Bing Zhang, Huan Da Wang, Wei Peng Huang, Yi Yao, Hong Chen
  • MACHINE-LEARNING BASED HEAP MEMORY TUNING
    Publication number: 20200409731
    Abstract: In an approach for JAVA Virtual Machine (JVM) heap memory tuning, one or more computer processors obtain a feature vector of an application running on the JVM. The one or more computer processors input the feature vector to a predictive model trained with historical application data collected in one or more production environments. The one or more computer processors receive an output of the predictive model based on the feature vector with at least one memory tuning recommendation for the JVM. The one or more computer processors tune the memory of the JVM based on the at least one memory tuning recommendation.
    Type: Application
    Filed: June 27, 2019
    Publication date: December 31, 2020
    Inventors: Hong Bing Zhang, Huan Da Wang, Wei Peng Huang, Yi Yao, Hong Chen