Patents by Inventor Rick Haggart

Rick Haggart 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: 11665051
    Abstract: A method comprising discovering workload attributes and identify dependencies, receiving utilization performance measurements including memory utilization measurements of at least a subset of workloads, grouping workloads based on the workload attributes, the dependencies, and the utilization performance measurements into affinity groups, determining at least one representative synthetic workload for each affinity group, each representative synthetic workload including a time slice of a predetermined period of time when there are maximum performance values for any number of utilization performance measurements among virtual machines of that particular affinity group, determining at least one cloud service provider (CSP)'s cloud services based on performance of the representative synthetic workloads, and generating a report for at least one of the representative synthetic workloads, the report identifying the at least one of the representative synthetic workloads and the at least one CSP's cloud services inclu
    Type: Grant
    Filed: June 1, 2022
    Date of Patent: May 30, 2023
    Assignee: Virtual Instruments Worldwide, Inc.
    Inventors: Rick Haggart, Rangaswamy Jagannathan, Michael Bello, Ricardo A. Negrete, Elizaveta Tavastcherna, Vitoo Suwannakinthorn
  • Patent number: 11570235
    Abstract: A method comprising discovering workload attributes and identify dependencies, receiving utilization performance measurements including memory utilization measurements of at least a subset of workloads, grouping workloads based on the workload attributes, the dependencies, and the utilization performance measurements into affinity groups, determining at least one representative synthetic workload for each affinity group, each representative synthetic workload including a time slice of a predetermined period of time when there are maximum performance values for any number of utilization performance measurements among virtual machines of that particular affinity group, determining at least one cloud service provider (CSP)'s cloud services based on performance of the representative synthetic workloads, and generating a report for at least one of the representative synthetic workloads, the report identifying the at least one of the representative synthetic workloads and the at least one CSP's cloud services inclu
    Type: Grant
    Filed: August 15, 2021
    Date of Patent: January 31, 2023
    Assignee: Virtual Instruments Worldwide, Inc.
    Inventors: Rick Haggart, Rangaswamy Jagannathan, Michael Bello, Ricardo A. Negrete, Elizaveta Tavastcherna, Vitoo Suwannakinthorn
  • Publication number: 20220294688
    Abstract: A method comprising discovering workload attributes and identify dependencies, receiving utilization performance measurements including memory utilization measurements of at least a subset of workloads, grouping workloads based on the workload attributes, the dependencies, and the utilization performance measurements into affinity groups, determining at least one representative synthetic workload for each affinity group, each representative synthetic workload including a time slice of a predetermined period of time when there are maximum performance values for any number of utilization performance measurements among virtual machines of that particular affinity group, determining at least one cloud service provider (CSP)'s cloud services based on performance of the representative synthetic workloads, and generating a report for at least one of the representative synthetic workloads, the report identifying the at least one of the representative synthetic workloads and the at least one CSP's cloud services inclu
    Type: Application
    Filed: June 1, 2022
    Publication date: September 15, 2022
    Applicant: Virtual Instruments Worldwide, Inc.
    Inventors: Rick Haggart, Rangaswamy Jagannathan, Michael Bello, Ricardo A. Negrete, Elizaveta Tavastcherna, Vitoo Suwannakinthorn
  • Patent number: 11388046
    Abstract: A method comprising discovering workload attributes and identify dependencies, receiving utilization performance measurements including memory utilization measurements of at least a subset of workloads, grouping workloads based on the workload attributes, the dependencies, and the utilization performance measurements into affinity groups, determining at least one representative synthetic workload for each affinity group, each representative synthetic workload including a time slice of a predetermined period of time when there are maximum performance values for any number of utilization performance measurements among virtual machines of that particular affinity group, determining at least one cloud service provider (CSP)'s cloud services based on performance of the representative synthetic workloads, and generating a report for at least one of the representative synthetic workloads, the report identifying the at least one of the representative synthetic workloads and the at least one CSP's cloud services inclu
    Type: Grant
    Filed: February 23, 2021
    Date of Patent: July 12, 2022
    Assignee: Virtual Instruments Worldwide, Inc.
    Inventors: Rick Haggart, Rangaswamy Jagannathan, Michael Bello, Ricardo A. Negrete, Elizaveta Tavastcherna, Vitoo Suwannakinthorn
  • Publication number: 20210400110
    Abstract: A method comprising discovering workload attributes and identify dependencies, receiving utilization performance measurements including memory utilization measurements of at least a subset of workloads, grouping workloads based on the workload attributes, the dependencies, and the utilization performance measurements into affinity groups, determining at least one representative synthetic workload for each affinity group, each representative synthetic workload including a time slice of a predetermined period of time when there are maximum performance values for any number of utilization performance measurements among virtual machines of that particular affinity group, determining at least one cloud service provider (CSP)'s cloud services based on performance of the representative synthetic workloads, and generating a report for at least one of the representative synthetic workloads, the report identifying the at least one of the representative synthetic workloads and the at least one CSP's cloud services inclu
    Type: Application
    Filed: August 15, 2021
    Publication date: December 23, 2021
    Applicant: Virtual Instruments Worldwide, Inc.
    Inventors: Rick Haggart, Rangaswamy Jagannathan, Michael Bello, Ricardo A. Negrete, Elizaveta Tavastcherna, Vitoo Suwannakinthorn
  • Patent number: 11102283
    Abstract: A method comprising discovering workload attributes and identify dependencies, receiving utilization performance measurements including memory utilization measurements of at least a subset of workloads, grouping workloads based on the workload attributes, the dependencies, and the utilization performance measurements into affinity groups, determining at least one representative synthetic workload for each affinity group, each representative synthetic workload including a time slice of a predetermined period of time when there are maximum performance values for any number of utilization performance measurements among virtual machines of that particular affinity group, determining at least one cloud service provider (CSP)'s cloud services based on performance of the representative synthetic workloads, and generating a report for at least one of the representative synthetic workloads, the report identifying the at least one of the representative synthetic workloads and the at least one CSP's cloud services inclu
    Type: Grant
    Filed: February 18, 2020
    Date of Patent: August 24, 2021
    Assignee: Virtual Instruments Worldwide, Inc.
    Inventors: Rick Haggart, Rangaswamy Jagannathan, Michael Bello, Ricardo A. Negrete, Elizaveta Tavastcherna, Vitoo Suwannakinthorn
  • Publication number: 20210203547
    Abstract: A method comprising discovering workload attributes and identify dependencies, receiving utilization performance measurements including memory utilization measurements of at least a subset of workloads, grouping workloads based on the workload attributes, the dependencies, and the utilization performance measurements into affinity groups, determining at least one representative synthetic workload for each affinity group, each representative synthetic workload including a time slice of a predetermined period of time when there are maximum performance values for any number of utilization performance measurements among virtual machines of that particular affinity group, determining at least one cloud service provider (CSP)'s cloud services based on performance of the representative synthetic workloads, and generating a report for at least one of the representative synthetic workloads, the report identifying the at least one of the representative synthetic workloads and the at least one CSP's cloud services inclu
    Type: Application
    Filed: February 23, 2021
    Publication date: July 1, 2021
    Applicant: Virtual Instruments Worldwide, Inc.
    Inventors: Rick Haggart, Rangaswamy Jagannathan, Michael Bello, Ricardo A. Negrete, Elizaveta Tavastcherna, Vitoo Suwannakinthorn
  • Publication number: 20200267216
    Abstract: A method comprising discovering workload attributes and identify dependencies, receiving utilization performance measurements including memory utilization measurements of at least a subset of workloads, grouping workloads based on the workload attributes, the dependencies, and the utilization performance measurements into affinity groups, determining at least one representative synthetic workload for each affinity group, each representative synthetic workload including a time slice of a predetermined period of time when there are maximum performance values for any number of utilization performance measurements among virtual machines of that particular affinity group, determining at least one cloud service provider (CSP)'s cloud services based on performance of the representative synthetic workloads, and generating a report for at least one of the representative synthetic workloads, the report identifying the at least one of the representative synthetic workloads and the at least one CSP's cloud services inclu
    Type: Application
    Filed: February 18, 2020
    Publication date: August 20, 2020
    Inventors: Rick Haggart, Jagan Jagannathan, Michael Bello, Ricardo A. Negrete, Elizaveta Tavastcherna, Vitoo Suwannakinthorn