Patents by Inventor Bryan Dreyer
Bryan Dreyer 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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Publication number: 20240146667Abstract: Novel tools and techniques are provided for implementing intent-based orchestration using network parsimony trees. In various embodiments, in response to receiving a request for network services that comprises desired characteristics and performance parameters for the requested network services without information regarding specific hardware, hardware type, location, or network, a computing system might generate a request-based parsimony tree based on the desired characteristics and performance parameters. The computing system might access, from a datastore, a plurality of network-based parsimony trees that are each generated based on measured network metrics, might compare the request-based parsimony tree with each of one or more network-based parsimony trees to determine a fitness score for each network-based parsimony tree, and might identify a best-fit network-based parsimony tree based on the fitness scores.Type: ApplicationFiled: December 21, 2023Publication date: May 2, 2024Applicant: Level 3 Communications, LLCInventors: Kevin M. McBride, Brett E. Dwyer, James E. Sutherland, Jamie Lin, Brent Smith, Glenn B. Balanoff, Frank Moss, Bryan Dreyer
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Publication number: 20240135179Abstract: This disclosure describes systems, methods, and devices related to testing servers provisioned in an edge computing device. An edge computing device may detect that a server has been provisioned to access a public network cloud using backbone routers of the edge computing device; provide a neural network for evaluating a probability that a performance of the server will satisfy performance criteria, the neural network trained based on training data comprising labeled settings data and feature weights; input settings and configurations associated with the provisioning of the server as inputs to the neural network; and generate, using the neural network, based on the inputs and the training data, a confidence score indicative of the probability.Type: ApplicationFiled: October 17, 2023Publication date: April 25, 2024Applicant: Level 3 Communications, LLCInventors: Bryan DREYER, Brent SMITH, James SUTHERLAND
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Publication number: 20240073101Abstract: This disclosure describes systems, methods, and devices related to automating and testing communication network topologies.Type: ApplicationFiled: August 24, 2023Publication date: February 29, 2024Applicant: Level 3 Communications, LLCInventors: Bryan DREYER, Jason NAULT, William ROEMHILD, Brent SMITH
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Patent number: 11855911Abstract: Novel tools and techniques are provided for implementing intent-based orchestration using network parsimony trees. In various embodiments, in response to receiving a request for network services that comprises desired characteristics and performance parameters for the requested network services without information regarding specific hardware, hardware type, location, or network, a computing system might generate a request-based parsimony tree based on the desired characteristics and performance parameters. The computing system might access, from a datastore, a plurality of network-based parsimony trees that are each generated based on measured network metrics, might compare the request-based parsimony tree with each of one or more network-based parsimony trees to determine a fitness score for each network-based parsimony tree, and might identify a best-fit network-based parsimony tree based on the fitness scores.Type: GrantFiled: April 21, 2023Date of Patent: December 26, 2023Assignee: Level 3 Communications, LLCInventors: Kevin M. McBride, Brett E. Dwyer, James E. Sutherland, Jamie Lin, Brent Smith, Glenn B. Balanoff, Frank Moss, Bryan Dreyer
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Publication number: 20230269198Abstract: Novel tools and techniques are provided for implementing intent-based orchestration using network parsimony trees. In various embodiments, in response to receiving a request for network services that comprises desired characteristics and performance parameters for the requested network services without information regarding specific hardware, hardware type, location, or network, a computing system might generate a request-based parsimony tree based on the desired characteristics and performance parameters. The computing system might access, from a datastore, a plurality of network-based parsimony trees that are each generated based on measured network metrics, might compare the request-based parsimony tree with each of one or more network-based parsimony trees to determine a fitness score for each network-based parsimony tree, and might identify a best-fit network-based parsimony tree based on the fitness scores.Type: ApplicationFiled: April 21, 2023Publication date: August 24, 2023Applicant: Level 3 Communications, LLCInventors: Kevin M. McBride, Brett E. Dwyer, James E. Sutherland, Jamie Lin, Brent Smith, Glenn B. Balanoff, Frank Moss, Bryan Dreyer
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Patent number: 11637790Abstract: Novel tools and techniques are provided for implementing intent-based orchestration using network parsimony trees. In various embodiments, in response to receiving a request for network services that comprises desired characteristics and performance parameters for the requested network services without information regarding specific hardware, hardware type, location, or network, a computing system might generate a request-based parsimony tree based on the desired characteristics and performance parameters. The computing system might access, from a datastore, a plurality of network-based parsimony trees that are each generated based on measured network metrics, might compare the request-based parsimony tree with each of one or more network-based parsimony trees to determine a fitness score for each network-based parsimony tree, and might identify a best-fit network-based parsimony tree based on the fitness scores.Type: GrantFiled: November 18, 2022Date of Patent: April 25, 2023Assignee: Level 3 Communications, LLCInventors: Kevin M. McBride, Brett E. Dwyer, James E. Sutherland, Jamie Lin, Brent Smith, Glenn B. Balanoff, Frank Moss, Bryan Dreyer
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Publication number: 20230096135Abstract: Novel tools and techniques are provided for implementing intent-based orchestration using network parsimony trees. In various embodiments, in response to receiving a request for network services that comprises desired characteristics and performance parameters for the requested network services without information regarding specific hardware, hardware type, location, or network, a computing system might generate a request-based parsimony tree based on the desired characteristics and performance parameters. The computing system might access, from a datastore, a plurality of network-based parsimony trees that are each generated based on measured network metrics, might compare the request-based parsimony tree with each of one or more network-based parsimony trees to determine a fitness score for each network-based parsimony tree, and might identify a best-fit network-based parsimony tree based on the fitness scores.Type: ApplicationFiled: November 18, 2022Publication date: March 30, 2023Applicant: Level 3 Communications, LLCInventors: Kevin M. McBride, Brett E. Dwyer, James E. Sutherland, Jamie Lin, Brent Smith, Glenn B. Balanoff, Frank Moss, Bryan Dreyer
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Patent number: 11509601Abstract: Novel tools and techniques are provided for implementing intent-based orchestration using network parsimony trees. In various embodiments, in response to receiving a request for network services that comprises desired characteristics and performance parameters for the requested network services without information regarding specific hardware, hardware type, location, or network, a computing system might generate a request-based parsimony tree based on the desired characteristics and performance parameters. The computing system might access, from a datastore, a plurality of network-based parsimony trees that are each generated based on measured network metrics, might compare the request-based parsimony tree with each of one or more network-based parsimony trees to determine a fitness score for each network-based parsimony tree, and might identify a best-fit network-based parsimony tree based on the fitness scores.Type: GrantFiled: May 18, 2022Date of Patent: November 22, 2022Assignee: Level 3 Communications, LLCInventors: Kevin M. McBride, Brett E. Dwyer, James E. Sutherland, Jamie Lin, Brent Smith, Glenn B. Balanoff, Frank Moss, Bryan Dreyer
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Publication number: 20220278945Abstract: Novel tools and techniques are provided for implementing intent-based orchestration using network parsimony trees. In various embodiments, in response to receiving a request for network services that comprises desired characteristics and performance parameters for the requested network services without information regarding specific hardware, hardware type, location, or network, a computing system might generate a request-based parsimony tree based on the desired characteristics and performance parameters. The computing system might access, from a datastore, a plurality of network-based parsimony trees that are each generated based on measured network metrics, might compare the request-based parsimony tree with each of one or more network-based parsimony trees to determine a fitness score for each network-based parsimony tree, and might identify a best-fit network-based parsimony tree based on the fitness scores.Type: ApplicationFiled: May 18, 2022Publication date: September 1, 2022Applicant: Level 3 Communications, LLCInventors: Kevin M. McBride, Brett E. Dwyer, James E. Sutherland, Jamie Lin, Brent Smith, Glenn B. Balanoff, Frank Moss, Bryan Dreyer
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Publication number: 20220210016Abstract: A server configuration tool is presented for autonomously configuring servers located in a network. The tool may autonomously configure multiple servers in parallel based on individual states of the servers, which may be periodically and simultaneously determined. For example, the tool may determine which action to take to begin or continue configuring the server based on the present state of each server. Server states (and corresponding actions) can be edited through a user interface to alter the server configuration process without code changes. At any one time, multiple servers may be in different states requiring different configuration operations to configure the servers to be ready for use. The present systems and methods can be used to move multiple servers iteratively through different configuration actions based on the individual state of each server and to perform non-conflicting configuration operations for multiple servers in parallel.Type: ApplicationFiled: December 29, 2021Publication date: June 30, 2022Applicant: Level 3 Communications, LLCInventors: Kevin McBride, James Sutherland, Bryan Dreyer, Kristopher Dick
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Publication number: 20220206868Abstract: A tool is provided to configure an edge compute environment of a network. The edge compute network configuration tool may generate a configuration process for instantiating an edge compute environment at an edge site of a network including configuring one or more of the components of the edge compute environment. The configuration process may include generating automatically executed configuration instructions that communicate with the devices of the edge compute environment to configure operational processes of the devices, provision communication ports, establish one or more network addresses with the devices, etc. In some instances, the edge compute configuration tool may execute one or more micro-services to communicate with and control configuration of the devices of the edge compute environment. In addition, in some instances, a content delivery network may be used to deliver configuration data to the device being configured.Type: ApplicationFiled: December 29, 2021Publication date: June 30, 2022Applicant: Level 3 Communications, LLCInventors: Bryan Dreyer, Kevin McBride
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Patent number: 11343201Abstract: Novel tools and techniques are provided for implementing intent-based orchestration using network parsimony trees. In various embodiments, in response to receiving a request for network services that comprises desired characteristics and performance parameters for the requested network services without information regarding specific hardware, hardware type, location, or network, a computing system might generate a request-based parsimony tree based on the desired characteristics and performance parameters. The computing system might access, from a datastore, a plurality of network-based parsimony trees that are each generated based on measured network metrics, might compare the request-based parsimony tree with each of one or more network-based parsimony trees to determine a fitness score for each network-based parsimony tree, and might identify a best-fit network-based parsimony tree based on the fitness scores.Type: GrantFiled: February 15, 2021Date of Patent: May 24, 2022Assignee: Level 3 Communications, LLCInventors: Kevin M. McBride, Brett E. Dwyer, James E. Sutherland, Jamie Lin, Brent Smith, Glenn B. Balanoff, Frank Moss, Bryan Dreyer
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Publication number: 20210266269Abstract: Novel tools and techniques are provided for implementing intent-based orchestration using network parsimony trees. In various embodiments, in response to receiving a request for network services that comprises desired characteristics and performance parameters for the requested network services without information regarding specific hardware, hardware type, location, or network, a computing system might generate a request-based parsimony tree based on the desired characteristics and performance parameters. The computing system might access, from a datastore, a plurality of network-based parsimony trees that are each generated based on measured network metrics, might compare the request-based parsimony tree with each of one or more network-based parsimony trees to determine a fitness score for each network-based parsimony tree, and might identify a best-fit network-based parsimony tree based on the fitness scores.Type: ApplicationFiled: February 15, 2021Publication date: August 26, 2021Inventors: Kevin M. McBride, Brett E. Dwyer, James E. Sutherland, Jamie Lin, Brent Smith, Glenn B. Balanoff, Frank Moss, Bryan Dreyer
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Publication number: 20210266236Abstract: Novel tools and techniques are provided for implementing intent-based multi-tiered orchestration and automation. In various embodiments, in response to receiving a request for network services that comprises desired characteristics and performance parameters for the requested network services without information regarding specific hardware, hardware type, location, or network, a macro orchestrator might send, to a micro orchestrator among a plurality of micro orchestrators, the received request for network services, where the macro orchestrator automates, manages, or controls each of the plurality of micro orchestrators, while each micro orchestrator automates, manages, or controls a plurality of domain managers and/or a plurality of network resources.Type: ApplicationFiled: February 15, 2021Publication date: August 26, 2021Inventors: Brett E. Dwyer, Kevin M. McBride, James E. Sutherland, Jamie Lin, Brent Smith, Glenn B. Balanoff, Frank Moss, Bryan Dreyer