Level 3 Communications, LLC

Other

Brett E Dwyer

Kevin Michael McBride

Brent W Smith

James E Sutherland

Bryan J Dreyer

Jamie Lin

Frank Moss

Glenn B Balanoff

Austin D Ritchie

Wen Wang

Scott Hemmann

A system and method for providing on-demand edge compute. The system may include an orchestrator that provides a UI and controls an abstraction layer for implementing a workflow for providing on-demand edge compute. The abstraction layer may include a network configuration orchestration (NCO) system (e.g., a Network-as-a-Service (NaaS) system) and an API that may provide an interface between the orchestrator and the NCO. The API may enable the orchestrator to communicate with the NCO for receiving requests that enable the NCO to integrate with existing network controllers, orchestrators, and other systems and perform various network provisioning tasks (e.g., to build and provision a communication path between server instances). The various tasks, when executed, may provide end-to-end automated network provisioning services as part of providing on-demand edge compute service to users. The API may further enable the ECS orchestrator to receive information from the NCO, (e.g., network resource information, status messages).

Systems and methods for automated network configurations with a network as a service (NaaS) system

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. The computing system might identify and might allocate network resources based on the identified best-fit network-based parsimony tree, for providing the requested network services.

Intent-based orchestration using network parsimony trees

A system and method for providing on-demand edge compute. The system may include an orchestrator that provides a UI and that controls an abstraction layer for implementing a workflow for providing on-demand edge compute. The abstraction layer may include a server configuration orchestration (SCO) system (e.g., a Metal-as-a-Service (MaaS) system) and API that may provide an interface between the orchestrator and the SCO. The API may enable the orchestrator to communicate with the SCO for receiving requests that enable the SCO to integrate with existing compute resources to perform various compute provisioning tasks (e.g., to build and provision a server instance). The various tasks, when executed, may provide on-demand edge compute service to users. The SCO API may further enable the ECS orchestrator to receive information from the SCO (e.g., compute resource information, status messages).

Customer activation on edge computing environment

A golf stroke training device for use with the head of a conventional golf club. The golf stroke training device includes a body of relatively soft compressible material which has a pair of opposed vertical legs which are removably fastened to the ball striking surface of a golf club so that the center of percussion of the striking surface is midway between the legs. The body has a head portion which connects the two legs and which has a central aperture for receiving an elongated rod which extends transversely of the striking face of the club.

Golf stroke training aid

Growing community of inventors

Clermont, FL, United States of America

Brett E Dwyer