Patents by Inventor Nazia Sarang

Nazia Sarang 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).

  • UTILIZING MACHINE LEARNING TO REDUCE CLOUD INSTANCES IN A CLOUD COMPUTING ENVIRONMENT
    Publication number: 20230254220
    Abstract: A device receives, from a cloud computing environment, cloud instance information associated with cloud instances in the cloud computing environment, and processes the cloud instance information, with a machine learning model, to determine containers for one or more of the cloud instances and whether cloud instances should be removed from the cloud computing environment. The device causes a first subset of the cloud instances to be removed from the cloud computing environment, based on determining which of the cloud instances should be removed, and causes the containers to be created for a second subset of the cloud instances based on determining the containers. The device receives, from the cloud computing environment, cloud container information associated with the containers created in the cloud computing environment, and causes one or more of the containers to be scaled based on the cloud container information.
    Type: Application
    Filed: April 24, 2023
    Publication date: August 10, 2023
    Inventors: Sunil NARANG, Abhishek Kumar SINGH, Nazia SARANG, Vikas VIJAY
  • LEVERAGING MACHINE LEARNING TO AUTOMATE CAPACITY RESERVATIONS FOR APPLICATION FAILOVER ON CLOUD
    Publication number: 20230177411
    Abstract: Embodiments disclosed are directed to a computing system that performs operations for leveraging machine learning to automate capacity reservations for application failover in a cloud-based computing system. The computing system determines a simulated usage capacity of a set of applications executing in a first zone of a cloud-based computing system. The computing system then determines an amount of cloud-based computing instances in a second zone of the cloud-based computing system needed to maintain the simulated usage capacity in an event of a failover of the first zone. Subsequently, the computing system reserves the amount of cloud-based computing instances in the second zone.
    Type: Application
    Filed: December 7, 2021
    Publication date: June 8, 2023
    Applicant: Capital One Services, LLC
    Inventors: Sunil NARANG, Jean MUSKATEL, Kathleen POETER, Nicholas BHASKAR, Nazia SARANG
  • Utilizing machine learning to reduce cloud instances in a cloud computing environment
    Patent number: 11665064
    Abstract: A device receives, from a cloud computing environment, cloud instance information associated with cloud instances in the cloud computing environment, and processes the cloud instance information, with a machine learning model, to determine containers for one or more of the cloud instances and whether cloud instances should be removed from the cloud computing environment. The device causes a first subset of the cloud instances to be removed from the cloud computing environment, based on determining which of the cloud instances should be removed, and causes the containers to be created for a second subset of the cloud instances based on determining the containers. The device receives, from the cloud computing environment, cloud container information associated with the containers created in the cloud computing environment, and causes one or more of the containers to be scaled based on the cloud container information.
    Type: Grant
    Filed: April 28, 2022
    Date of Patent: May 30, 2023
    Assignee: Capital One Services, LLC
    Inventors: Sunil Narang, Abhishek Kumar Singh, Nazia Sarang, Vikas Vijay
  • UTILIZING MACHINE LEARNING TO REDUCE CLOUD INSTANCES IN A CLOUD COMPUTING ENVIRONMENT
    Publication number: 20220255795
    Abstract: A device receives, from a cloud computing environment, cloud instance information associated with cloud instances in the cloud computing environment, and processes the cloud instance information, with a machine learning model, to determine containers for one or more of the cloud instances and whether cloud instances should be removed from the cloud computing environment. The device causes a first subset of the cloud instances to be removed from the cloud computing environment, based on determining which of the cloud instances should be removed, and causes the containers to be created for a second subset of the cloud instances based on determining the containers. The device receives, from the cloud computing environment, cloud container information associated with the containers created in the cloud computing environment, and causes one or more of the containers to be scaled based on the cloud container information.
    Type: Application
    Filed: April 28, 2022
    Publication date: August 11, 2022
    Inventors: Sunil NARANG, Abhishek Kumar SINGH, Nazia SARANG, Vikas VIJAY
  • Utilizing machine learning to reduce cloud instances in a cloud computing environment
    Patent number: 11329870
    Abstract: A device receives, from a cloud computing environment, cloud instance information associated with cloud instances in the cloud computing environment, and processes the cloud instance information, with a machine learning model, to determine containers for one or more of the cloud instances and whether cloud instances should be removed from the cloud computing environment. The device causes a first subset of the cloud instances to be removed from the cloud computing environment, based on determining which of the cloud instances should be removed, and causes the containers to be created for a second subset of the cloud instances based on determining the containers. The device receives, from the cloud computing environment, cloud container information associated with the containers created in the cloud computing environment, and causes one or more of the containers to be scaled based on the cloud container information.
    Type: Grant
    Filed: March 1, 2021
    Date of Patent: May 10, 2022
    Assignee: Capital One Services, LLC
    Inventors: Sunil Narang, Abhishek Kumar Singh, Nazia Sarang, Vikas Vijay
  • UTILIZING MACHINE LEARNING TO REDUCE CLOUD INSTANCES IN A CLOUD COMPUTING ENVIRONMENT
    Publication number: 20210184923
    Abstract: A device receives, from a cloud computing environment, cloud instance information associated with cloud instances in the cloud computing environment, and processes the cloud instance information, with a machine learning model, to determine containers for one or more of the cloud instances and whether cloud instances should be removed from the cloud computing environment. The device causes a first subset of the cloud instances to be removed from the cloud computing environment, based on determining which of the cloud instances should be removed, and causes the containers to be created for a second subset of the cloud instances based on determining the containers. The device receives, from the cloud computing environment, cloud container information associated with the containers created in the cloud computing environment, and causes one or more of the containers to be scaled based on the cloud container information.
    Type: Application
    Filed: March 1, 2021
    Publication date: June 17, 2021
    Inventors: Sunil NARANG, Abhishek Kumar Singh, Nazia Sarang, Vikas Vijay
  • Utilizing machine learning to reduce cloud instances in a cloud computing environment
    Patent number: 10938637
    Abstract: A device receives, from a cloud computing environment, cloud instance information associated with cloud instances in the cloud computing environment, and processes the cloud instance information, with a machine learning model, to determine containers for one or more of the cloud instances and whether cloud instances should be removed from the cloud computing environment. The device causes a first subset of the cloud instances to be removed from the cloud computing environment, based on determining which of the cloud instances should be removed, and causes the containers to be created for a second subset of the cloud instances based on determining the containers. The device receives, from the cloud computing environment, cloud container information associated with the containers created in the cloud computing environment, and causes one or more of the containers to be scaled based on the cloud container information.
    Type: Grant
    Filed: July 31, 2019
    Date of Patent: March 2, 2021
    Assignee: Capital One Services, LLC
    Inventors: Sunil Narang, Abhishek Kumar Singh, Nazia Sarang, Vikas Vijay
  • UTILIZING MACHING LEARNING TO REDUCE CLOUD INSTANCES IN A CLOUD COMPUTING ENVIRONMENT
    Publication number: 20200014588
    Abstract: A device receives, from a cloud computing environment, cloud instance information associated with cloud instances in the cloud computing environment, and processes the cloud instance information, with a machine learning model, to determine containers for one or more of the cloud instances and whether cloud instances should be removed from the cloud computing environment. The device causes a first subset of the cloud instances to be removed from the cloud computing environment, based on determining which of the cloud instances should be removed, and causes the containers to be created for a second subset of the cloud instances based on determining the containers. The device receives, from the cloud computing environment, cloud container information associated with the containers created in the cloud computing environment, and causes one or more of the containers to be scaled based on the cloud container information.
    Type: Application
    Filed: July 31, 2019
    Publication date: January 9, 2020
    Inventors: Sunil NARANG, Abhishek Kumar SINGH, Nazia SARANG, Vikas VIJAY
  • Utilizing maching learning to reduce cloud instances in a cloud computing environment
    Patent number: 10382260
    Abstract: A device receives, from a cloud computing environment, cloud instance information associated with cloud instances in the cloud computing environment, and processes the cloud instance information, with a machine learning model, to determine containers for one or more of the cloud instances and whether cloud instances should be removed from the cloud computing environment. The device causes a first subset of the cloud instances to be removed from the cloud computing environment, based on determining which of the cloud instances should be removed, and causes the containers to be created for a second subset of the cloud instances based on determining the containers. The device receives, from the cloud computing environment, cloud container information associated with the containers created in the cloud computing environment, and causes one or more of the containers to be scaled based on the cloud container information.
    Type: Grant
    Filed: June 7, 2018
    Date of Patent: August 13, 2019
    Assignee: Capital One Services, LLC
    Inventors: Sunil Narang, Abhishek Kumar Singh, Nazia Sarang, Vikas Vijay