Patents by Inventor Chetan M. Battal

Chetan M. Battal 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: 11416159
    Abstract: A method and system for prioritizing critical data object storage during backup operations. Specifically, the method and system disclosed herein entail reordering data objects, awaiting being written to storage and thus queued in one or more data object queues, in accordance with a nearest-critical based sequential order. The nearest-critical based sequential order may be derived through modified weight-based Euclidean distances calculated between adjacent data object pairs queued in any given data object queue. Further, the calculated modified weight-based Euclidean distances incorporate data criticality factors associated with the adjacent data object pairs. By reordering data objects in a nearest-critical based sequential order, critical data objects may be written into storage first, thereby avoiding possible critical data loss should a disaster occur during backup operations.
    Type: Grant
    Filed: April 29, 2019
    Date of Patent: August 16, 2022
    Assignee: EMC IP Holding Company LLC
    Inventors: Mahesh Reddy Appireddygari Venkataramana, Chetan M. Battal, Swaroop Shankar D. H., Shelesh Chopra
  • Publication number: 20200341642
    Abstract: A method and system for prioritizing critical data object storage during backup operations. Specifically, the method and system disclosed herein entail reordering data objects, awaiting being written to storage and thus queued in one or more data object queues, in accordance with a nearest-critical based sequential order. The nearest-critical based sequential order may be derived through modified weight-based Euclidean distances calculated between adjacent data object pairs queued in any given data object queue. Further, the calculated modified weight-based Euclidean distances incorporate data criticality factors associated with the adjacent data object pairs. By reordering data objects in a nearest-critical based sequential order, critical data objects may be written into storage first, thereby avoiding possible critical data loss should a disaster occur during backup operations.
    Type: Application
    Filed: April 29, 2019
    Publication date: October 29, 2020
    Inventors: Mahesh Reddy Appireddygari Venkataramana, Chetan M. Battal, Swaroop Shankar D.H., Shelesh Chopra