Patents by Inventor John Carlo Vincent Cattaneo

John Carlo Vincent Cattaneo 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).

  • Auto-scaling for allocation of cloud service resources in application deployments
    Patent number: 11625278
    Abstract: Described embodiments provide systems and methods of allocating cloud resources for application deployments. A resource allocator may identify a first metric indicating usage of cloud resources by clients in a first release environment for an application update. The resource allocator may generate, using the first metric, a resource capacity model for predicting usage of the cloud resources by clients in a second release environment for the application update. The resource allocator may determine, using the resource capacity model, a metric predicting the usage of the cloud resources by the clients in the second release environment. The resource allocator may generate instructions to set an allocation of the cloud computing resources for performing deployment of the application update to the second release environment based on the second metric.
    Type: Grant
    Filed: April 14, 2022
    Date of Patent: April 11, 2023
    Assignee: Citrix Systems, Inc.
    Inventors: Yongyu Chen, John Carlo Vincent Cattaneo
  • AUTO-SCALING FOR ALLOCATION OF CLOUD SERVICE RESOURCES IN APPLICATION DEPLOYMENTS
    Publication number: 20220237034
    Abstract: Described embodiments provide systems and methods of allocating cloud resources for application deployments. A resource allocator may identify a first metric indicating usage of cloud resources by clients in a first release environment for an application update. The resource allocator may generate, using the first metric, a resource capacity model for predicting usage of the cloud resources by clients in a second release environment for the application update. The resource allocator may determine, using the resource capacity model, a metric predicting the usage of the cloud resources by the clients in the second release environment. The resource allocator may generate instructions to set an allocation of the cloud computing resources for performing deployment of the application update to the second release environment based on the second metric.
    Type: Application
    Filed: April 14, 2022
    Publication date: July 28, 2022
    Inventors: Yongyu Chen, John Carlo Vincent Cattaneo
  • Auto-scaling for allocation of cloud service resources in application deployments
    Patent number: 11307901
    Abstract: Described embodiments provide systems and methods of allocating cloud resources for application deployments. A resource allocator may identify a first metric indicating usage of cloud resources by clients in a first release environment for an application update. The resource allocator may generate, using the first metric, a resource capacity model for predicting usage of the cloud resources by clients in a second release environment for the application update. The resource allocator may determine, using the resource capacity model, a metric predicting the usage of the cloud resources by the clients in the second release environment. The resource allocator may generate instructions to set an allocation of the cloud computing resources for performing deployment of the application update to the second release environment based on the second metric.
    Type: Grant
    Filed: June 24, 2020
    Date of Patent: April 19, 2022
    Assignee: Citrix Systems, Inc.
    Inventors: Yongyu Chen, John Carlo Vincent Cattaneo
  • AUTO-SCALING FOR ALLOCATION OF CLOUD SERVICE RESOURCES IN APPLICATION DEPLOYMENTS
    Publication number: 20200326983
    Abstract: Described embodiments provide systems and methods of allocating cloud resources for application deployments. A resource allocator may identify a first metric indicating usage of cloud resources by clients in a first release environment for an application update. The resource allocator may generate, using the first metric, a resource capacity model for predicting usage of the cloud resources by clients in a second release environment for the application update. The resource allocator may determine, using the resource capacity model, a metric predicting the usage of the cloud resources by the clients in the second release environment. The resource allocator may generate instructions to set an allocation of the cloud computing resources for performing deployment of the application update to the second release environment based on the second metric.
    Type: Application
    Filed: June 24, 2020
    Publication date: October 15, 2020
    Inventors: Yongyu Chen, John Carlo Vincent Cattaneo
  • Auto-scaling for allocation of cloud service resources in application deployments
    Patent number: 10698735
    Abstract: Described embodiments provide systems and methods of allocating cloud resources for application deployments. A resource allocator may identify a first metric indicating usage of cloud resources by clients in a first release environment for an application update. The resource allocator may generate, using the first metric, a resource capacity model for predicting usage of the cloud resources by clients in a second release environment for the application update. The resource allocator may determine, using the resource capacity model, a metric predicting the usage of the cloud resources by the clients in the second release environment. The resource allocator may generate instructions to set an allocation of the cloud computing resources for performing deployment of the application update to the second release environment based on the second metric.
    Type: Grant
    Filed: February 14, 2018
    Date of Patent: June 30, 2020
    Assignee: Citrix Systems, Inc.
    Inventors: Yongyu Chen, John Carlo Vincent Cattaneo
  • AUTO-SCALING FOR ALLOCATION OF CLOUD SERVICE RESOURCES IN APPLICATION DEPLOYMENTS
    Publication number: 20190250949
    Abstract: Described embodiments provide systems and methods of allocating cloud resources for application deployments. A resource allocator may identify a first metric indicating usage of cloud resources by clients in a first release environment for an application update. The resource allocator may generate, using the first metric, a resource capacity model for predicting usage of the cloud resources by clients in a second release environment for the application update. The resource allocator may determine, using the resource capacity model, a metric predicting the usage of the cloud resources by the clients in the second release environment. The resource allocator may generate instructions to set an allocation of the cloud computing resources for performing deployment of the application update to the second release environment based on the second metric.
    Type: Application
    Filed: February 14, 2018
    Publication date: August 15, 2019
    Inventors: Yongyu Chen, John Carlo Vincent Cattaneo