Patents by Inventor Marshall J. Wells
Marshall J. Wells 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).
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Patent number: 11303539Abstract: A network component placement architecture addresses the difficult technical challenge of determining where specific technical components of an overall service may be provisioned. The architecture is particularly effective at determining where, among a myriad of possible service provides, platforms, and regions, the technical components can be placed and meet all of the applicable technical constraints on the placement of the technical components. In one implementation, the placement architecture includes a sequence of pipeline stages that define an analysis sequence leading to a set of possible placement options.Type: GrantFiled: August 21, 2015Date of Patent: April 12, 2022Assignee: ACCENTURE GLOBAL SERVICES LIMITEDInventors: Patrick Francis Cimprich, Michael Gerald DeLuca, Jack Q. W. Cantwell, Sean David Peterson, Marshall J. Wells
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Patent number: 10547520Abstract: Provisioning resources into the cloud is a constantly increasing technical challenge as more cloud service providers emerge, each offering disparate computing platforms, services, assets, supported technical components, and other features. A cloud computing provisioning architecture implements a sequence of complex technical analyses that successfully provisions complex cloud computing services. The provisioning architecture disaggregates resources into individual provisioning actions, and also selectively re-aggregates the resources into template blocks which a service provider accepts for native provisioning.Type: GrantFiled: August 21, 2015Date of Patent: January 28, 2020Assignee: Accenture Global Services LimitedInventors: Patrick Francis Cimprich, Michael Gerald DeLuca, Jack Q. W. Cantwell, Sean David Peterson, Marshall J. Wells
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Patent number: 10148527Abstract: A network component placement architecture addresses the difficult technical challenge of determining where specific technical components of an overall service may be provisioned. However, the placement decision can change over time in response to complex updates relating to service providers, the regions they support, the assets they support, and many other dynamic factors. Dynamic network component placement effectively determines updated possibilities for placing the technical components of a specified service, while meeting all of the applicable technical constraints on the placement of the technical components.Type: GrantFiled: August 21, 2015Date of Patent: December 4, 2018Assignee: Accenture Global Services LimitedInventors: Patrick Francis Cimprich, Michael Gerald DeLuca, Jack Q. W. Cantwell, Sean David Peterson, Marshall J. Wells
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Patent number: 10148528Abstract: Provisioning resources into the cloud is a constantly increasing technical challenge as more cloud service providers emerge, each offering disparate computing platforms, services, assets, supported technical components, and other features. A cloud computing provisioning architecture implements a sequence of complex technical analyzes that successfully provisions complex cloud computing services.Type: GrantFiled: August 21, 2015Date of Patent: December 4, 2018Assignee: Accenture Global Services LimitedInventors: Patrick Francis Cimprich, Michael Gerald DeLuca, Jack Q. W. Cantwell, Sean David Peterson, Marshall J. Wells
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Patent number: 10033597Abstract: Cloud computing has emerged as an extremely popular implementation option for a wide range of computing services. However, provisioning services into the cloud is an extremely difficult technical challenge. This is due in part to the regular emergence of new cloud service providers, as well as the routine changing and reconfiguration of the disparate computing platforms, services, assets, supported technical components, and other features offered by the service providers. An analysis architecture determines how to map a particular technical component into the execution environment of any particular service provider with the aid of translation scripts.Type: GrantFiled: November 4, 2016Date of Patent: July 24, 2018Assignee: Accenture Global Services LimitedInventors: Patrick Francis Cimprich, Michael Gerald DeLuca, Jack Q. W. Cantwell, Sean David Peterson, Marshall J. Wells
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Patent number: 10033598Abstract: Cloud computing has emerged as an extremely popular implementation option for a wide range of computing services. However, provisioning services into the cloud is an extremely difficult technical challenge. This is due in part to the regular emergence of new cloud service providers, as well as the routine changing and reconfiguration of the disparate computing platforms, services, assets, supported technical components, and other features offered by the service providers. An analysis architecture determines how to map a particular technical component into the execution environment of any particular service provider, including translation through a reference type.Type: GrantFiled: November 4, 2016Date of Patent: July 24, 2018Assignee: Accenture Global Services LimitedInventors: Patrick Francis Cimprich, Michael Gerald DeLuca, Jack Q. W. Cantwell, Sean David Peterson, Marshall J. Wells
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Patent number: 9853868Abstract: Cloud computing has emerged as an extremely popular implementation option for a wide range of computing services. However, provisioning services into the cloud is an extremely difficult technical challenge. This is due in part to the regular emergence of new cloud service providers, as well as the routine changing and reconfiguration of the disparate computing platforms, services, assets, supported technical components, and other features offered by the service providers. An analysis architecture determines how to map a particular technical component into the execution environment of any particular service provider.Type: GrantFiled: August 21, 2015Date of Patent: December 26, 2017Assignee: Accenture Global Services LimitedInventors: Patrick Francis Cimprich, Michael Gerald DeLuca, Jack Q. W. Cantwell, Sean David Peterson, Marshall J. Wells
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Patent number: 9749195Abstract: Determining placement options for technical components of a specified service is a difficult technical challenge. A metadata architecture addresses, in part, the technical challenge by defining a complex metadata collection and attachment mechanism. In one implementation, the metadata architecture defines metadata domains and obtains descriptive metadata for those domains, e.g., metadata for the technical components from multiple disparate sources and across multiple different characteristics of the technical components. The metadata architecture is linked to the technical components and the metadata architecture injects specific metadata subsets into, e.g., a placement pipeline that determines where the technical components may be placed in the extensive provider/platform/service space.Type: GrantFiled: August 21, 2015Date of Patent: August 29, 2017Assignee: Accenture Global Services LimitedInventors: Patrick Francis Cimprich, Michael Gerald DeLuca, Jack Q. W. Cantwell, Sean David Peterson, Marshall J. Wells
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Publication number: 20170078162Abstract: Cloud computing has emerged as an extremely popular implementation option for a wide range of computing services. However, provisioning services into the cloud is an extremely difficult technical challenge. This is due in part to the regular emergence of new cloud service providers, as well as the routine changing and reconfiguration of the disparate computing platforms, services, assets, supported technical components, and other features offered by the service providers. An analysis architecture determines how to map a particular technical component into the execution environment of any particular service provider, including translation through a reference type.Type: ApplicationFiled: November 4, 2016Publication date: March 16, 2017Inventors: Patrick Francis Cimprich, Michael Gerald DeLuca, Jack Q.W. Cantwell, Sean David Peterson, Marshall J. Wells
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Publication number: 20170078161Abstract: Cloud computing has emerged as an extremely popular implementation option for a wide range of computing services. However, provisioning services into the cloud is an extremely difficult technical challenge. This is due in part to the regular emergence of new cloud service providers, as well as the routine changing and reconfiguration of the disparate computing platforms, services, assets, supported technical components, and other features offered by the service providers. An analysis architecture determines how to map a particular technical component into the execution environment of any particular service provider with the aid of translation scripts.Type: ApplicationFiled: November 4, 2016Publication date: March 16, 2017Inventors: Patrick Francis Cimprich, Michael Gerald DeLuca, Jack Q.W. Cantwell, Sean David Peterson, Marshall J. Wells
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Patent number: 9467393Abstract: A network component placement architecture addresses the difficult technical challenge of determining where specific technical components of an overall service may be provisioned. The architecture is particularly effective at determining where, among a myriad of possible service provides, platforms, and regions, the technical components can be placed and meet all of the applicable technical constraints on the placement of the technical components. In one implementation, the placement architecture includes a sequence of pipeline stages that define an analysis sequence leading to a set of possible placement options.Type: GrantFiled: March 10, 2016Date of Patent: October 11, 2016Assignee: Accenture Global Services LimitedInventors: Patrick Francis Cimprich, Michael Gerald DeLuca, Jack Q.W. Cantwell, Sean David Peterson, Marshall J. Wells
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Publication number: 20160191414Abstract: A network component placement architecture addresses the difficult technical challenge of determining where specific technical components of an overall service may be provisioned. The architecture is particularly effective at determining where, among a myriad of possible service provides, platforms, and regions, the technical components can be placed and meet all of the applicable technical constraints on the placement of the technical components. In one implementation, the placement architecture includes a sequence of pipeline stages that define an analysis sequence leading to a set of possible placement options.Type: ApplicationFiled: March 10, 2016Publication date: June 30, 2016Inventors: Patrick Francis Cimprich, Michael Gerald DeLuca, Jack Q.W. Cantwell, Sean David Peterson, Marshall J. Wells
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Publication number: 20160164744Abstract: A network component placement architecture addresses the difficult technical challenge of determining where specific technical components of an overall service may be provisioned. However, the placement decision can change over time in response to complex updates relating to service providers, the regions they support, the assets they support, and many other dynamic factors. Dynamic network component placement effectively determines updated possibilities for placing the technical components of a specified service, while meeting all of the applicable technical constraints on the placement of the technical components.Type: ApplicationFiled: August 21, 2015Publication date: June 9, 2016Inventors: Patrick Francis Cimprich, Michael Gerald DeLuca, Jack Q.W. Cantwell, Sean David Peterson, Marshall J. Wells
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Publication number: 20160164743Abstract: Determining placement options for technical components of a specified service is a difficult technical challenge. A metadata architecture addresses, in part, the technical challenge by defining a complex metadata collection and attachment mechanism. In one implementation, the metadata architecture defines metadata domains and obtains descriptive metadata for those domains, e.g., metadata for the technical components from multiple disparate sources and across multiple different characteristics of the technical components. The metadata architecture is linked to the technical components and the metadata architecture injects specific metadata subsets into, e.g., a placement pipeline that determines where the technical components may be placed in the extensive provider/platform/service space.Type: ApplicationFiled: August 21, 2015Publication date: June 9, 2016Inventors: Patrick Francis Cimprich, Michael Gerald DeLuca, Jack Q. W. Cantwell, Sean David Peterson, Marshall J. Wells
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Publication number: 20160164727Abstract: Provisioning resources into the cloud is a constantly increasing technical challenge as more cloud service providers emerge, each offering disparate computing platforms, services, assets, supported technical components, and other features. A cloud computing provisioning architecture implements a sequence of complex technical analyses that successfully provisions complex cloud computing services.Type: ApplicationFiled: August 21, 2015Publication date: June 9, 2016Inventors: Patrick Francis Cimprich, Michael Gerald DeLuca, Jack Q.W. Cantwell, Sean David Peterson, Marshall J. Wells
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Publication number: 20160164746Abstract: A network component placement architecture addresses the difficult technical challenge of determining where specific technical components of an overall service may be provisioned. The architecture is particularly effective at determining where, among a myriad of possible service provides, platforms, and regions, the technical components can be placed and meet all of the applicable technical constraints on the placement of the technical components. In one implementation, the placement architecture includes a sequence of pipeline stages that define an analysis sequence leading to a set of possible placement options.Type: ApplicationFiled: August 21, 2015Publication date: June 9, 2016Inventors: Patrick Francis Cimprich, Michael Gerald DeLuca, Jack Q.W. Cantwell, Sean David Peterson, Marshall J. Wells
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Publication number: 20160164723Abstract: Cloud computing has emerged as an extremely popular implementation option for a wide range of computing services. However, provisioning services into the cloud is an extremely difficult technical challenge. This is due in part to the regular emergence of new cloud service providers, as well as the routine changing and reconfiguration of the disparate computing platforms, services, assets, supported technical components, and other features offered by the service providers. An analysis architecture determines how to map a particular technical component into the execution environment of any particular service provider.Type: ApplicationFiled: August 21, 2015Publication date: June 9, 2016Inventors: Patrick Francis Cimprich, Michael Gerald DeLuca, Jack Q. W. Cantwell, Sean David Peterson, Marshall J. Wells
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Publication number: 20160164753Abstract: Provisioning resources into the cloud is a constantly increasing technical challenge as more cloud service providers emerge, each offering disparate computing platforms, services, assets, supported technical components, and other features. A cloud computing provisioning architecture implements a sequence of complex technical analyses that successfully provisions complex cloud computing services. The provisioning architecture disaggregates resources into individual provisioning actions, and also selectively re-aggregates the resources into template blocks which a service provider accepts for native provisioning.Type: ApplicationFiled: August 21, 2015Publication date: June 9, 2016Inventors: Patrick Francis Cimprich, Michael Gerald Deluca, Jack Q.W. Cantwell, Sean David Peterson, Marshall J. Wells