Patents by Inventor Sashibhusan Panda

Sashibhusan Panda 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).

  • Component monitoring framework with predictive analytics
    Patent number: 11971907
    Abstract: A method comprises collecting data corresponding to a plurality of components in a system, wherein the data comprises information about one or more issues with the plurality of components. The data is analyzed and categorized based at least in part on the analysis. In the method, one or more application programming interfaces (APIs) are selected to monitor respective statuses of the plurality of components, wherein the selection is based at least in part on the categorization of the data, and the data is pushed to the one or more APIs.
    Type: Grant
    Filed: January 28, 2022
    Date of Patent: April 30, 2024
    Assignee: Dell Products L.P.
    Inventors: Hung Dinh, Seshadri Srinivasan, Kiran Kumar Pidugu, Bijan Kumar Mohanty, Baishali Roy, Antarlina Tripathy, Sambasivarao Gaddam, Shivangi Geetanjali, Sowmya Kumar, Shivangi Maharana, Sashibhusan Panda, Shishir Kumar Parhi, Harikrishna Reyyi, Sweta Kumari, Bharath Alla
  • TESTING FRAMEWORK WITH LOAD FORECASTING
    Publication number: 20220398133
    Abstract: A method comprises collecting data corresponding to a plurality of components in a system, wherein the data comprises information about at least one of respective protocols and respective interfaces associated with respective ones of the plurality of components. The data is analyzed to determine at least one of the respective protocols and the respective interfaces associated with the respective ones of the plurality of components. In the method, operations of one or more components of the plurality of components are tested based at least in part on the determination of the at least one of the respective protocols and the respective interfaces. The method further includes outputting respective statuses of the one or more components, wherein the respective statuses are derived at least in part from the testing.
    Type: Application
    Filed: June 14, 2021
    Publication date: December 15, 2022
    Inventors: Sambasivarao Gaddam, Shivangi Geetanjali, Sowmya Kumar, Sweta Kumari, Shivangi Maharana, Sashibhusan Panda, Shishir Kumar Parhi, Harikrishna Reyyi, Baishali Roy, Seshadri Srinivasan, Antarlina Tripathy, Hung Dinh, Bijan Kumar Mohanty, Krishna Mohan Akkinapalli, Satish Ranjan Das, Shashikiran Rajagopal
  • COMPONENT MONITORING FRAMEWORK
    Publication number: 20220342685
    Abstract: A method comprises collecting data corresponding to a plurality of components in a system, wherein the data comprises information about one or more issues with the plurality of components. The data is analyzed and categorized based at least in part on the analysis. In the method, one or more application programming interfaces (APIs) are selected to monitor respective statuses of the plurality of components, wherein the selection is based at least in part on the categorization of the data, and the data is pushed to the one or more APIs.
    Type: Application
    Filed: April 22, 2021
    Publication date: October 27, 2022
    Inventors: Antarlina Tripathy, Baishali Roy, Panguluru Vijaya Sekhar, Sambasivarao Gaddam, Shivangi Geetanjali, Sowmya Kumar, Shivangi Maharana, Sashibhusan Panda, Shishir Kumar Parhi, Harikrishna Reyyi, Seshadri Srinivasan, Kiran Kumar Pidugu, Hung Dinh, Sweta Kumari
  • COMPONENT MONITORING FRAMEWORK WITH PREDICTIVE ANALYTICS
    Publication number: 20220342910
    Abstract: A method comprises collecting data corresponding to a plurality of components in a system, wherein the data comprises information about one or more issues with the plurality of components. The data is analyzed and categorized based at least in part on the analysis. In the method, one or more application programming interfaces (APIs) are selected to monitor respective statuses of the plurality of components, wherein the selection is based at least in part on the categorization of the data, and the data is pushed to the one or more APIs.
    Type: Application
    Filed: January 28, 2022
    Publication date: October 27, 2022
    Applicant: Dell Products L.P.
    Inventors: Hung Dinh, Seshadri Srinivasan, Kiran Kumar Pidugu, Bijan Kumar Mohanty, Baishali Roy, Antarlina Tripathy, Sambasivarao Gaddam, Shivangi Geetanjali, Sowmya Kumar, Shivangi Maharana, Sashibhusan Panda, Shishir Kumar Parhi, Harikrishna Reyyi, Sweta Kumari, Bharath Alla
  • SOFTWARE VALIDATION FRAMEWORK
    Publication number: 20220327012
    Abstract: A method comprises receiving a request for validation of software comprising one or more applications, analyzing the request and generating one or more validation steps based at least in part on the analysis. In the method, a time to complete the one or more validation steps is predicted. The predicting is performed using one or more machine learning models, and is based at least in part on a type and a number of the one or more applications.
    Type: Application
    Filed: April 8, 2021
    Publication date: October 13, 2022
    Inventors: Baishali Roy, Antarlina Tripathy, Panguluru Vijaya Sekhar, Shivangi Geetanjali, Sowmya Kumar, Sambasivarao Gaddam, Shivangi Maharana, Sashibhusan Panda, Shishir Kumar Parhi, Harikrishna Reyyi, Seshadri Srinivasan, Bijan Kumar Mohanty, Hung Dinh, Sweta Kumari
  • Enterprise deployment framework with artificial intelligence/machine learning
    Patent number: 11301226
    Abstract: A method comprises managing multiple tasks of multiple entities associated with a deployment of a software program with a deployment framework comprising a machine learning module configured to assist with managing the multiple tasks of the multiple entities. The managing step comprises tracking a status of one or more of the multiple tasks, and predicting a time taken for a given one of the multiple entities to complete a given one of the multiple tasks.
    Type: Grant
    Filed: November 5, 2019
    Date of Patent: April 12, 2022
    Assignee: Dell Products L.P.
    Inventors: Hung Dinh, Shishir Kumar Parhi, Sowmya K, Shivangi Geetanjali, Antarlina Tripathy, Yash Khare, Sashibhusan Panda, Lakshman Kumar Tiwari, Sourav Datta, Seshadri Srinivasan, Panguluru Vijaya Sekhar, Baishali Roy, Sweta Kumari
  • ENTERPRISE DEPLOYMENT FRAMEWORK WITH ARTIFICIAL INTELLIGENCE/MACHINE LEARNING
    Publication number: 20210132927
    Abstract: A method comprises managing multiple tasks of multiple entities associated with a deployment of a software program with a deployment framework comprising a machine learning module configured to assist with managing the multiple tasks of the multiple entities. The managing step comprises tracking a status of one or more of the multiple tasks, and predicting a time taken for a given one of the multiple entities to complete a given one of the multiple tasks.
    Type: Application
    Filed: November 5, 2019
    Publication date: May 6, 2021
    Inventors: Hung Dinh, Shishir Kumar Parhi, Sowmya K, Shivangi Geetanjali, Antarlina Tripathy, Yash Khare, Sashibhusan Panda, Lakshman Kumar Tiwari, Sourav Datta, Seshadri Srinivasan, Panguluru Vijaya Sekhar, Baishali Roy, Sweta Kumari