Patents by Inventor John Wiley Ashby, JR.

John Wiley Ashby, JR. 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: 10142179
    Abstract: A method includes retrieving capacity utilization data for a plurality of resources and applying a linear regression analysis on the capacity utilization data. The method further includes projecting, using a processor, the capacity utilization data through a future time based on results of the linear regression analysis. The method additionally includes determining a deviation from a predetermined threshold range in the projected capacity utilization data for a first resource, and, in response to determining the deviation, determining, for each of a plurality of resource configurations, future capacity utilization of the first resource based on a non-linear capacity consumption model corresponding to the resource configuration. The method also includes applying a selected resource configuration from the plurality of resource configurations to the first resource to prevent the first resource from deviating from the predetermined threshold range.
    Type: Grant
    Filed: March 12, 2015
    Date of Patent: November 27, 2018
    Assignee: CA, Inc.
    Inventors: John Wiley Ashby, Jr., Balaji Varadaraju
  • Patent number: 9875169
    Abstract: A method includes receiving an expected growth rate for modeling future capacity utilization for a resource hosting a plurality of processes, each process being associated with a respective workload. The method also includes modifying, in a non-linear capacity utilization model for the resource, the respective workload for a particular process in the plurality of processes based on the expected growth rate, and, in response to modifying the respective workload, determining a change in total capacity utilization for the resource using the non-linear capacity utilization model. The method further includes determining a ratio between the change in the total capacity utilization for the resource and the modification to the respective workload. The method additionally includes modifying, based on the ratio, a configuration of the resource with respect to the particular process in anticipation of the expected growth rate.
    Type: Grant
    Filed: March 26, 2015
    Date of Patent: January 23, 2018
    Assignee: CA, Inc.
    Inventors: John Wiley Ashby, Jr., Balaji Varadaraju
  • Patent number: 9632835
    Abstract: A resource management node includes a processor and a memory coupled to the processor. The memory includes computer readable program code that when executed by the processor causes the processor to perform operations. The operations can include, for each of a plurality of guest virtual machines (VMs), determining operational resources of physical host machines available in a distributed computing system that are needed to provide the guest VM. A placement scenario for placing the guest VMs on the physical host machines and placing the physical host machines in cabinets of a distributed computing system is generated. An amount of infrastructure of the distributed computing system used by the placement scenario is determined. A determination is made whether the placement scenario satisfies a defined rule for how much infrastructure of the distributed computing system can be used.
    Type: Grant
    Filed: March 17, 2014
    Date of Patent: April 25, 2017
    Assignee: CA, Inc.
    Inventors: Lara Virginia Greden, Peter James Gilbert, Richard John Wcislicki Lankester, James B. Mercer, John Wiley Ashby, Jr., Salvatore Pilo, Paul David Peterson, Francois Marie Bruno Cattoen
  • Patent number: 9553827
    Abstract: A method includes accessing a database comprising a respective non-linear scalability model for each of a plurality of physical resources and each of a plurality of virtual resources in a virtualization environment. The method also includes generating a respective capacity consumption model for each of the plurality of virtual resources based on the non-linear scalability models. The method further includes determining a deviation from a predetermined threshold range in the respective capacity consumption model for a first virtual resource in the plurality of virtual resources. The method additionally includes determining a slope of the respective capacity consumption model for the first virtual resource, and determining a sizing recommendation for components of the first virtual resource based on the slope and the deviation. The method also includes modifying at least one of the components of the first virtual resource based on the sizing recommendation.
    Type: Grant
    Filed: February 19, 2015
    Date of Patent: January 24, 2017
    Assignee: CA, Inc.
    Inventors: John Wiley Ashby, Jr., Balaji Varadaraju
  • Publication number: 20160283271
    Abstract: A method includes receiving an expected growth rate for modeling future capacity utilization for a resource hosting a plurality of processes, each process being associated with a respective workload. The method also includes modifying, in a non-linear capacity utilization model for the resource, the respective workload for a particular process in the plurality of processes based on the expected growth rate, and, in response to modifying the respective workload, determining a change in total capacity utilization for the resource using the non-linear capacity utilization model. The method further includes determining a ratio between the change in the total capacity utilization for the resource and the modification to the respective workload. The method additionally includes modifying, based on the ratio, a configuration of the resource with respect to the particular process in anticipation of the expected growth rate.
    Type: Application
    Filed: March 26, 2015
    Publication date: September 29, 2016
    Applicant: CA, INC.
    Inventors: John Wiley Ashby, JR., Balaji Varadaraju
  • Patent number: 9448841
    Abstract: A resource management node includes a processor and a memory coupled to the processor. The memory includes computer readable program code that when executed by the processor causes the processor to perform operations. The operations can include identifying an unproductive group of guest virtual machines (VMs) that satisfy a defined rule for being unproductive on an first group of physical host machines based on infrastructure of a distributed computing system used by the first group of the physical host machines to host the guest VMs. A relocation scenario is generated for relocating the unproductive group of the guest VMs from the first group of the physical host machines to a second group of the physical host machines. An effect of the relocation scenario on infrastructure usage of the distributed computing system is estimated.
    Type: Grant
    Filed: March 17, 2014
    Date of Patent: September 20, 2016
    Assignee: CA, Inc.
    Inventors: Lara Virginia Greden, Peter James Gilbert, James B. Mercer, Richard John Wcislicki Lankester, Dhesikan Ananchaperumal, John Wiley Ashby, Jr., Salvatore Pilo, Francois Marie Bruno Cattoen, Paul David Peterson
  • Patent number: 9448848
    Abstract: A resource management node includes a processor and a memory coupled to the processor. The memory includes computer readable program code that when executed by the processor causes the processor to perform operations. The operations can include, for each of a plurality of guest virtual machines (VMs), determining operational resources of physical host machines available in a distributed computing system that are needed to provide the guest VM. The operations can further include determining an amount of infrastructure of a distributed computing system used by a defined placement of physical host machines in racks of the distributed computing system.
    Type: Grant
    Filed: March 17, 2014
    Date of Patent: September 20, 2016
    Assignee: CA, Inc.
    Inventors: Peter James Gilbert, Salvatore Pilo, Richard John Wcislicki Lankester, James B. Mercer, John Wiley Ashby, Jr., Paul David Peterson, Lara Virginia Greden, Dhesikan Ananchaperumal, Francois Marie Bruno Cattoen
  • Publication number: 20160269239
    Abstract: A method includes retrieving capacity utilization data for a plurality of resources and applying a linear regression analysis on the capacity utilization data. The method further includes projecting, using a processor, the capacity utilization data through a future time based on results of the linear regression analysis. The method additionally includes determining a deviation from a predetermined threshold range in the projected capacity utilization data for a first resource, and, in response to determining the deviation, determining, for each of a plurality of resource configurations, future capacity utilization of the first resource based on a non-linear capacity consumption model corresponding to the resource configuration. The method also includes applying a selected resource configuration from the plurality of resource configurations to the first resource to prevent the first resource from deviating from the predetermined threshold range.
    Type: Application
    Filed: March 12, 2015
    Publication date: September 15, 2016
    Applicant: CA, INC.
    Inventors: John Wiley Ashby, JR., Balaji Varadaraju
  • Publication number: 20160248646
    Abstract: A method includes accessing a database comprising a respective non-linear scalability model for each of a plurality of physical resources and each of a plurality of virtual resources in a virtualization environment. The method also includes generating a respective capacity consumption model for each of the plurality of virtual resources based on the non-linear scalability models. The method further includes determining a deviation from a predetermined threshold range in the respective capacity consumption model for a first virtual resource in the plurality of virtual resources. The method additionally includes determining a slope of the respective capacity consumption model for the first virtual resource, and determining a sizing recommendation for components of the first virtual resource based on the slope and the deviation. The method also includes modifying at least one of the components of the first virtual resource based on the sizing recommendation.
    Type: Application
    Filed: February 19, 2015
    Publication date: August 25, 2016
    Applicant: CA, INC.
    Inventors: John Wiley Ashby, JR., Balaji Varadaraju
  • Patent number: 9405569
    Abstract: Some embodiments disclosed herein are directed to a resource management node having a processor and memory coupled to the processor. The memory includes computer readable program code that when executed by the processor causes the processor to perform operations. The operations include, for each of a plurality of guest virtual machines (VMs) of a VM cluster provided by computer operations of a physical machine among a plurality of physical machines within a distributed computing system, determining a productivity metric for the guest VM based on resources of the physical machine that are used by the guest VM. The operations further include for each of the guest VMs, determining, based on the productivity metric for the guest VM, an infrastructure value that indicates how much infrastructure of the distributed computing system is attributed to providing the guest VM.
    Type: Grant
    Filed: March 17, 2014
    Date of Patent: August 2, 2016
    Assignee: CA, Inc.
    Inventors: Lara Virginia Greden, Peter James Gilbert, Richard John Wcislicki Lankester, James B. Mercer, Dhesikan Ananchaperumal, John Wiley Ashby, Jr., Francois Marie Bruno Cattoen, Paul David Peterson, Salvatore Pilo
  • Publication number: 20150261555
    Abstract: Some embodiments disclosed herein are directed to a resource management node having a processor and memory coupled to the processor. The memory includes computer readable program code that when executed by the processor causes the processor to perform operations. The operations include, for each of a plurality of guest virtual machines (VMs) of a VM cluster provided by computer operations of a physical machine among a plurality of physical machines within a distributed computing system, determining a productivity metric for the guest VM based on resources of the physical machine that are used by the guest VM. The operations further include for each of the guest VMs, determining, based on the productivity metric for the guest VM, an infrastructure value that indicates how much infrastructure of the distributed computing system is attributed to providing the guest VM.
    Type: Application
    Filed: March 17, 2014
    Publication date: September 17, 2015
    Applicant: CA, INC.
    Inventors: Lara Virginia Greden, Peter James Gilbert, Richard John Wcislicki Lankester, James B. Mercer, Dhesikan Ananchaperumal, John Wiley Ashby, JR., Francois Marie Bruno Cattoen, Paul David Peterson, Salvatore Pilo
  • Publication number: 20150261574
    Abstract: A resource management node includes a processor and a memory coupled to the processor. The memory includes computer readable program code that when executed by the processor causes the processor to perform operations. The operations can include identifying an unproductive group of guest virtual machines (VMs) that satisfy a defined rule for being unproductive on an first group of physical host machines based on infrastructure of a distributed computing system used by the first group of the physical host machines to host the guest VMs. A relocation scenario is generated for relocating the unproductive group of the guest VMs from the first group of the physical host machines to a second group of the physical host machines. An effect of the relocation scenario on infrastructure usage of the distributed computing system is estimated.
    Type: Application
    Filed: March 17, 2014
    Publication date: September 17, 2015
    Applicant: CA, INC.
    Inventors: Lara Virginia Greden, Peter James Gilbert, James B. Mercer, Richard John Wcislicki Lankester, Dhesikan Ananchaperumal, John Wiley Ashby, JR., Salvatore Pilo, Francois Marie Bruno Cattoen, Paul David Peterson
  • Publication number: 20150261577
    Abstract: A resource management node includes a processor and a memory coupled to the processor. The memory includes computer readable program code that when executed by the processor causes the processor to perform operations. The operations can include, for each of a plurality of guest virtual machines (VMs), determining operational resources of physical host machines available in a distributed computing system that are needed to provide the guest VM. The operations can further include determining an amount of infrastructure of a distributed computing system used by a defined placement of physical host machines in racks of the distributed computing system.
    Type: Application
    Filed: March 17, 2014
    Publication date: September 17, 2015
    Applicant: CA, INC.
    Inventors: Peter James Gilbert, Salvatore Pilo, Richard John Wcislicki Lankester, James B. Mercer, John Wiley Ashby, JR., Paul David Peterson, Lara Virginia Greden, Dhesikan Ananchaperumal, Francois Marie Bruno Cattoen
  • Publication number: 20150261578
    Abstract: A resource management node includes a processor and a memory coupled to the processor. The memory includes computer readable program code that when executed by the processor causes the processor to perform operations. The operations can include, for each of a plurality of guest virtual machines (VMs), determining operational resources of physical host machines available in a distributed computing system that are needed to provide the guest VM. A placement scenario for placing the guest VMs on the physical host machines and placing the physical host machines in cabinets of a distributed computing system is generated. An amount of infrastructure of the distributed computing system used by the placement scenario is determined. A determination is made whether the placement scenario satisfies a defined rule for how much infrastructure of the distributed computing system can be used.
    Type: Application
    Filed: March 17, 2014
    Publication date: September 17, 2015
    Applicant: CA, INC.
    Inventors: Lara Virginia Greden, Peter James Gilbert, Richard John Wcislicki Lankester, James B. Mercer, John Wiley Ashby, JR., Salvatore Pilo, Paul David Peterson, Francois Marie Bruno Cattoen