Patents by Inventor Pankaj Sabharwal

Pankaj Sabharwal 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).

  • Using cognitive technologies to identify and resolve issues in a distributed infrastructure
    Patent number: 10565077
    Abstract: A mechanism is provided in a data processing system for identifying and resolving issues in a distributed infrastructure. A log error processor monitors error logs of a plurality of data processing nodes within the distributed infrastructure. In response to the log error processor detecting an error in a given node within the distributed infrastructure, the log error processor provides error data for the error to the machine learning model and receiving from the machine learning model a set of potential solutions and associated confidence values. An operation extraction component extracts from each potential solution in the set of potential solutions a set of operations to resolve the error. A classifier component maps each set of operations to a set of executable operations that are executable by the given node. A solution scorer component determines whether to perform automatic resolution using a selected potential solution and its corresponding set of executable operations.
    Type: Grant
    Filed: November 29, 2017
    Date of Patent: February 18, 2020
    Assignee: International Business Machines Corporation
    Inventors: Clifford Hayden, William G. O'Keeffe, Pankaj Sabharwal
  • Using Cognitive Technologies to Identify and Resolve Issues in a Distributed Infrastructure
    Publication number: 20190163594
    Abstract: A mechanism is provided in a data processing system for identifying and resolving issues in a distributed infrastructure. A log error processor monitors error logs of a plurality of data processing nodes within the distributed infrastructure. In response to the log error processor detecting an error in a given node within the distributed infrastructure, the log error processor provides error data for the error to the machine learning model and receiving from the machine learning model a set of potential solutions and associated confidence values. An operation extraction component extracts from each potential solution in the set of potential solutions a set of operations to resolve the error. A classifier component maps each set of operations to a set of executable operations that are executable by the given node. A solution scorer component determines whether to perform automatic resolution using a selected potential solution and its corresponding set of executable operations.
    Type: Application
    Filed: November 29, 2017
    Publication date: May 30, 2019
    Inventors: Clifford Hayden, William G. O'Keeffe, Pankaj Sabharwal