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Edge Computing

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Patent US10749740


Issued 2020-08-18

Deploying Network-based Cloud Platforms On End Equipment

The technique includes determining parameters of a cloud platform associated with an edge computing service associated with a network. The technique includes deploying the cloud platform, including configuring equipment external to the network and configuring equipment of the network.



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3 Independent Claims

  • 1. An article comprising a machine readable storage medium to store instructions that, when executed by a machine, cause the machine to: receive data representing metrics for a logically-isolated virtualized network of a cloud platform distributed across a plurality of service provider components comprising a data center computer system and federated edge computer system associated with a telecommunications network of a service provider, and at least one or more components of a customer end computer system external to the telecommunications network and wirelessly communicates with the telecommunications network; based on the metrics, determine at least one playbook describing deployment of elements of the logically-isolated virtualized network of the cloud platform, the elements being associated with configuring control plane, data plane, and distributed virtual storage and computing resources in the data center computer system, in the federated edge computer system, and in the customer end computer system; performing automated deployment of the elements of the logically-isolated virtualized network of the cloud platform based on the at least one playbook, wherein automated deployment of the elements of the logically-isolated virtualized network of the cloud platform further comprises establishing one or more networking spines on each of the one or more service provider components, the one or more federated edge components, and the one or more customer components of the customer end computer system, and wherein each networking spine on each of the one or more service provider components, each of the one or more federated edge components, and each of the one or more customer components of the at least one customer end computer system, each networking spine comprises a plurality of containers sharing a common operating system kernel but running separate applications, runtimes, and other services from each other container using kernel features.

  • 6. A method comprising: receiving data representing metrics for a logically-isolated virtualized network of a cloud platform to be distributed across a plurality of service provider components comprising a data center computer system and federated edge computer system associated with a telecommunications network of a service provider, wherein the federated edge computer system is associated with a geographic boundary of the telecommunications network, and one or more components of a customer end computer system wherein the customer end computer system is external to the telecommunications network and wirelessly communicates with the telecommunications network; based on the metrics, determining at least one playbook describing deployment of elements of the logically-isolated virtualized network of the cloud platform, the elements being associated with configuring control plane, data plane, and distributed virtual storage and computing resources in the data center computer system, in the federated edge computer system, and in the customer end computer system; and performing automated deployment of the elements of the logically-isolated virtualized network of the cloud platform based on the at least one playbook, wherein automated deployment of the elements of the logically-isolated virtualized network of the cloud platform comprises establishing one or more networking spines on each of the one or more service provider components, the one or more federated edge components, and the one or more customer components of the customer end computer system, and wherein each networking spine on each of the one or more service provider components, each of the one or more federated edge components, and each of the one or more customer components of the at least one customer end computer system, each networking spine comprises a plurality of containers sharing a common operating system kernel but running separate applications, runtimes, and other services from each other container using kernel features.

  • 14. An apparatus comprising: a hardware processor; and a memory to store instructions that, when executed by the hardware processor, cause the hardware processor to: based on received metrics for a logically-isolated virtualized network of a cloud platform that is distributed across a telecommunications network of a service provider, the telecommunications network comprising a data center and a federated edge computer system, and a customer end computer system that is external to and that wirelessly accesses the telecommunications network, determine at least one playbook describing elements for deployment of the logically-isolated virtualized network of the cloud platform, the elements being associated with configuring control plane, data plane, and distributed virtual storage and computing resources in the data center computer system, in the federated edge computer system, and in the customer end computer system; and automatically deploy elements of the logically-isolated virtualized network of the cloud platform based on the at least one playbook, wherein automated deployment of the elements based on the at least one playbook comprises establishing one or more networking spines on each of the one or more service provider components, the one or more federated edge components, and the one or more customer components of the customer end computer system, and wherein each networking spine on each of the one or more service provider components, each of the one or more federated edge components, and each of the one or more customer components of the at least one customer end computer system, each networking spine comprises a plurality of containers sharing a common operating system kernel but running separate applications, runtimes, and other services from each other container using kernel features.