Patents by Inventor Muthukumar Rethinakaleeswaran

Muthukumar Rethinakaleeswaran 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).

  • Computational node adaptive correction system
    Patent number: 10581637
    Abstract: A system and method for adaptively identifying and correcting issues in a computing system, such as a distributed node computing system, are described. The method includes receiving node data from a group of nodes, the node data describing one or more operational characteristics of a node. The operational characteristics may include CPU load, memory load, latency, or other operational data that describes node performance. Reachability data for the group of nodes is generated by trying to contact each node. Code version data is generated for each node that identifies which version of code applications in the node are running. The nodes are grouped into clusters using density-based clustering to identify outliers. A correlation is determined between the reachability, code version, and outlier data to identify problems and issue corrective actions.
    Type: Grant
    Filed: March 1, 2017
    Date of Patent: March 3, 2020
    Assignee: PAYPAL, INC.
    Inventors: Suresh Mathew, Krishnakanth Batta, Vaibhav Desai, Shankar Jothi, Jigar Chandrakant Desai, Muthukumar Rethinakaleeswaran, Rami El-Charif
  • COMPUTATIONAL NODE ADAPTIVE CORRECTION SYSTEM
    Publication number: 20170257297
    Abstract: A system and method for adaptively identifying and correcting issues in a computing system, such as a distributed node computing system, are described. The method includes receiving node data from a group of nodes, the node data describing one or more operational characteristics of a node. The operational characteristics may include CPU load, memory load, latency, or other operational data that describes node performance. Reachability data for the group of nodes is generated by trying to contact each node. Code version data is generated for each node that identifies which version of code applications in the node are running. The nodes are grouped into clusters using density-based clustering to identify outliers. A correlation is determined between the reachability, code version, and outlier data to identify problems and issue corrective actions.
    Type: Application
    Filed: March 1, 2017
    Publication date: September 7, 2017
    Inventors: Suresh Mathew, Krishnakanth Batta, Vaibhav Desai, Shankar Jothi, Jigar Chandrakant Desai, Muthukumar Rethinakaleeswaran, Rami El-Charif