Patents by Inventor Hai S. Wu

Hai S. Wu 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).

  • Recommending a suspicious component in problem diagnosis for a cloud application
    Patent number: 9477544
    Abstract: The present invention discloses a method and an apparatus for recommending a suspicious component in problem diagnosis for a cloud application. In the method, firstly a graph data model representing a hierarchical structure of the cloud application is constructed, wherein the graph data model comprises an application node representing the cloud application, a plurality of component nodes representing a plurality of components of the cloud application, and inter-node lines indicating inter-node relationships. Then real-time information of the cloud application is obtained, in response to detecting performance degradation of the cloud application. Impact degrees of the plurality of component nodes on the performance degradation of the cloud application is obtained based on the constructed graph data model and the obtained real-time information, and a suspicious component sequence is generated according to the impact degrees of the plurality of component nodes.
    Type: Grant
    Filed: January 7, 2015
    Date of Patent: October 25, 2016
    Assignee: International Business Machines Corporation
    Inventors: Hai S. Wu, Meng Ye, Tao Yu
  • Recommending a Suspicious Component in Problem Diagnosis for a Cloud Application
    Publication number: 20150199226
    Abstract: The present invention discloses a method and an apparatus for recommending a suspicious component in problem diagnosis for a cloud application. In the method, firstly a graph data model representing a hierarchical structure of the cloud application is constructed, wherein the graph data model comprises an application node representing the cloud application, a plurality of component nodes representing a plurality of components of the cloud application, and inter-node lines indicating inter-node relationships. Then real-time information of the cloud application is obtained, in response to detecting performance degradation of the cloud application. Impact degrees of the plurality of component nodes on the performance degradation of the cloud application is obtained based on the constructed graph data model and the obtained real-time information, and a suspicious component sequence is generated according to the impact degrees of the plurality of component nodes.
    Type: Application
    Filed: January 7, 2015
    Publication date: July 16, 2015
    Inventors: Hai S. Wu, Meng Ye, Tao Yu