Patents by Inventor Vimal Chandroliya

Vimal Chandroliya 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).

  • Publication number: 20250077366
    Abstract: This disclosure presents a system for rectifying server failures in distributed file systems using predictive logical markers. The system begins by receiving user details, a file name, and a block address via a distributed file system (DFS) client. If previous read information exists for the given file and user, a trained machine learning (ML) model predicts logical markers for file fragments. The ML model then transmits remaining block addresses to the DFS client. Concurrently, the system facilitates a data input stream, communicating predicted block addresses between the DFS client and the ML model. Block location information is retrieved from a distributed ledger via a primary node. The data input stream is processed via a secondary node, allowing efficient rectification of server failures.
    Type: Application
    Filed: August 28, 2023
    Publication date: March 6, 2025
    Applicant: BANK OF AMERICA CORPORATION
    Inventors: Magaranth Jayasingh, Vimal Chandroliya, Preethi Jagadeesan
  • Publication number: 20250077367
    Abstract: This disclosure presents a system for rectifying server failures in distributed file systems using predictive logical markers. The system begins by receiving user details, a file name, and a block address via a distributed file system (DFS) client. If previous read information exists for the given file and user, a trained machine learning (ML) model predicts logical markers for file fragments. The ML model then transmits remaining block addresses to the DFS client. Concurrently, the system facilitates a data input stream, communicating predicted block addresses between the DFS client and the ML model. Block location information is retrieved from a distributed ledger via a primary node. The data input stream is processed via a secondary node, allowing efficient rectification of server failures.
    Type: Application
    Filed: November 17, 2024
    Publication date: March 6, 2025
    Applicant: BANK OF AMERICA CORPORATION
    Inventors: Magaranth Jayasingh, Vimal Chandroliya, Preethi Jagadeesan
  • Patent number: 12242361
    Abstract: This disclosure presents a system for rectifying server failures in distributed file systems using predictive logical markers. The system begins by receiving user details, a file name, and a block address via a distributed file system (DFS) client. If previous read information exists for the given file and user, a trained machine learning (ML) model predicts logical markers for file fragments. The ML model then transmits remaining block addresses to the DFS client. Concurrently, the system facilitates a data input stream, communicating predicted block addresses between the DFS client and the ML model. Block location information is retrieved from a distributed ledger via a primary node. The data input stream is processed via a secondary node, allowing efficient rectification of server failures.
    Type: Grant
    Filed: August 28, 2023
    Date of Patent: March 4, 2025
    Assignee: BANK OF AMERICA CORPORATION
    Inventors: Magaranth Jayasingh, Vimal Chandroliya, Preethi Jagadeesan
  • Publication number: 20240119338
    Abstract: A method for database backup, search, and recovery using a quantum-computing-powered system with multi-dimensional scaling is provided. The method may include storing a first dataset in a first local database, generating a second dataset from a critical subset of the first dataset, and storing the second dataset in a second remote, cloud-based, database. The method may include receiving a search query at the first database. The method may include receiving a first indication of an outage at the first database and, in response to the first indication, routing the search query to a quantum processor and executing the search on the second dataset. The method may include receiving a second indication of a loss of data from the first dataset at the first database, and, in response to the second indication, restoring the critical subset of the first dataset to the first database from the second dataset at the second database using the quantum processor.
    Type: Application
    Filed: October 7, 2022
    Publication date: April 11, 2024
    Inventors: Vimal Chandroliya, Magaranth Jayasingh
  • Patent number: 11809426
    Abstract: Systems, computer program products, and methods are described herein for implementing a data driven channel for query executions using quantum computing. The present invention is configured to receive, from a user input device, a query; parse, using a query processing engine, the query; determine a classical execution plan based on at least parsing the query; convert, using a query optimization engine, the classical execution plan into a quantum execution plan; initiate a query execution engine on the quantum execution plan; determine, using the query execution engine, a quantum circuit design for execution of the quantum execution plan; execute, using the query execution engine, the quantum execution plan; generate a query result based on at least executing the quantum execution plan; and transmit control signals configured to cause the user input device to display the query result.
    Type: Grant
    Filed: February 3, 2022
    Date of Patent: November 7, 2023
    Assignee: BANK OF AMERICA CORPORATION
    Inventors: Vimal Chandroliya, Anirudh Kumar Sharma
  • Publication number: 20230244663
    Abstract: Systems, computer program products, and methods are described herein for implementing a data driven channel for query executions using quantum computing. The present invention is configured to receive, from a user input device, a query; parse, using a query processing engine, the query; determine a classical execution plan based on at least parsing the query; convert, using a query optimization engine, the classical execution plan into a quantum execution plan; initiate a query execution engine on the quantum execution plan; determine, using the query execution engine, a quantum circuit design for execution of the quantum execution plan; execute, using the query execution engine, the quantum execution plan; generate a query result based on at least executing the quantum execution plan; and transmit control signals configured to cause the user input device to display the query result.
    Type: Application
    Filed: February 3, 2022
    Publication date: August 3, 2023
    Applicant: BANK OF AMERICA CORPORATION
    Inventors: Vimal Chandroliya, Anirudh Kumar Sharma