Patents by Inventor Mahesh KALLANAGOUDAR

Mahesh KALLANAGOUDAR 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: 11593583
    Abstract: Described is a system, method, and computer program product for performing elections in a database cluster, where system resource statistics information is used to predict a cluster node failure. Resource statistics data is classified and used to identify anomalies. The anomalies can be used to determine the probability of a cluster node failure and to then elect a new master node and/or surviving sub-cluster.
    Type: Grant
    Filed: June 28, 2019
    Date of Patent: February 28, 2023
    Inventors: Mahesh Kallanagoudar, Ming Zhu
  • Patent number: 11108700
    Abstract: Described is a system, method, and computer program product for performing elections in a database cluster, where cluster topology representations are distributed across the cluster nodes using a prioritized messaging protocol. The cluster topology representations may be implemented as connectivity bit-vector that provide information that identifies which nodes in the cluster are able to communicatively connect with other nodes.
    Type: Grant
    Filed: June 28, 2019
    Date of Patent: August 31, 2021
    Assignee: Oracle International Corporation
    Inventors: Ming Zhu, Mahesh Kallanagoudar
  • Publication number: 20200412662
    Abstract: Described is a system, method, and computer program product for performing elections in a database cluster, where cluster topology representations are distributed across the cluster nodes using a prioritized messaging protocol. The cluster topology representations may be implemented as connectivity bit-vector that provide information that identifies which nodes in the cluster are able to communicatively connect with other nodes.
    Type: Application
    Filed: June 28, 2019
    Publication date: December 31, 2020
    Applicant: Oracle International Corporation
    Inventors: Ming ZHU, Mahesh KALLANAGOUDAR
  • Publication number: 20200410284
    Abstract: Described is a system, method, and computer program product for performing elections in a database cluster, where system resource statistics information is used to predict a cluster node failure. Resource statistics data is classified and used to identify anomalies. The anomalies can be used to determine the probability of a cluster node failure and to then elect a new master node and/or surviving sub-cluster.
    Type: Application
    Filed: June 28, 2019
    Publication date: December 31, 2020
    Applicant: Oracle International Corporation
    Inventors: Mahesh KALLANAGOUDAR, Ming ZHU