Amazon Technologies, Inc.

Microsoft Technology Licensing, LLC

Igor A Kostic

Diwakar Gupta

Kiran Kumar Edara

Ishwardutt Parulkar

Kaixiang Hu

Shane Ashley Hall

Christopher Magee Greenwood

Danny Wei

Kiran-Kumar Muniswamy-Reddy

Wells Lin

Colin Williams

Upendra Bhalchandra Shevade

Abhishek Abhishek

Anton W Krantz

Adeel Jamil Siddiqui

Ravi Rao

James Michael Thompson

Joseph Elmar Magerramov

Jeremy Lee Dewey

Stephen Callaghan

Benjamin Wojtowicz

Ethan Joseph Torretta

Upshur W Parks

Disclosed are various embodiments for managing radio-based private networks. In one embodiment, a request is received from an organization for a provider to provision a radio-based private network to cover a site of the organization. Equipment is preconfigured to implement the radio-based private network before shipping the equipment to the organization. A core network is provisioned for the organization.

Managing radio-based private networks

Disclosed are various embodiments for on-demand application-driven network slicing. In one embodiment, first data is transmitted to or from a first application in a particular computing device using a first network slice in a communications network. A request is sent from the particular computing device to configure a second network slice in the communications network based at least in part on a requirement of a second application. Second data is transmitted to or from the second application using the second network slice.

On-demand application-driven network slicing

Disclosed are various embodiments for extending cloud-based virtual private networks to radio-based networks. In one embodiment, a subnet of a virtual private cloud network of a cloud provider network is created in a radio-based network. An identifier of a subscriber identity module of a client device is registered in the virtual private cloud network. The subscriber identity module is assigned to a security group of the virtual private cloud network. A request from the client device to connect to the radio-based network is received, and the request presents the identifier. The virtual private cloud network to which the client device is permitted access is determined. The client device is provided with access to a resource on the virtual private cloud network through the radio-based network.

Extending cloud-based virtual private networks to radio-based networks

Disclosed are various embodiments for customer-defined capacity limit plans in communication networks. In one embodiment, a request for a service from a radio-based network is received from a first client device. A network function in the radio-based network is determined to be at a capacity limit. Service from the network function to a second client device to the network function is suspended in response to determining that the network function in the radio-based network is at the capacity limit and based at least in part on a rule set specific to the radio-based network. The first client device is provided access to the network function instead of the second client device.

Customer-defined capacity limit plans for communication networks

Disclosed are various embodiments for managing computing capacity in radio-based networks and associated core networks. In one embodiment, it is determined that a set of computing hardware implementing a radio-based network for a customer has an excess capacity. At least one action is implemented to reallocate the excess capacity of the computing hardware.

Managing computing capacity in radio-based networks

Disclosed are various embodiments for extending cloud-based virtual private networks to radio-based networks. In one embodiment, a request from a client device to connect to a radio-based network is received. A virtual private cloud network of a cloud provider network to which the client device is permitted access is determined. The client device is provided with access to the virtual private cloud network through the radio-based network.

Disclosed are various embodiments that provide highly available data-processing network functions for radio-based networks. In one embodiment, a tunnel host consistently routes network traffic associated with a range of network addresses in a radio-based network to a first instance of a data-processing network function instead of a second instance of the data-processing network function. A problem with the first instance of the data-processing network function is then detected. Additional network traffic associated with the range of network addresses is redirected from the first instance of the data-processing network function to the second instance of the data-processing network function.

Highly available data-processing network functions for radio-based networks

Disclosed are various embodiments for on-demand application-driven network slicing. In one embodiment, it is determined that an application implemented in a particular computing device has an increased quality-of-service requirement in order to send or receive data via a communications network. The increased quality-of-service requirement is greater than an existing quality-of-service provided to the application by the communications network. The application sends a request that causes capacity in a network slice having the increased quality-of-service requirement in the communications network to be allocated for the application. The data is transmitted to or from the application using the network slice.

Disclosed are various embodiments for provisioning radio-based networks on demand. In one embodiment, a request to provision a radio-based network to cover an area is received. At least one radio access network operated by at least one communication service provider that covers the area is determined. A capacity is provisioned in the radio access network(s) for the radio-based network to cover the area. At least a portion of a core network is provisioned for the radio-based network in a cloud provider network.

Provisioning radio-based networks on demand

Disclosed are various embodiments for automated deployment of radio-based networks. In one embodiment, a request to provision a radio-based network for a customer by a provider according to a network plan is received via an application programming interface (API) of a cloud provider network. An arrangement of a plurality of cells for the customer is determined. Respective antennas and radio units for individual ones of the plurality of cells are preconfigured to implement the radio-based network before shipping the respective antennas and the radio units to the customer.

Automated deployment of radio-based networks

Disclosed are various embodiments for managing radio-based private networks. In one embodiment, a cellular network comprises at least one cell that provides a radio-based private network coverage of a site of an organization. The system further comprises at least one computing device in a cloud provider network that implements one or more network functions for an associated core network of the radio-based private network.

Disclosed are various embodiments for on-demand application-driven network slicing. In one embodiment, it is determined that an application executed in a particular computing device has a quality-of-service requirement. The particular computing device is connected to a communications network. A request is sent that causes a network slice allocation service to reserve a network slice having the quality-of-service requirement in the communications network. Data to or from the application is transmitted using the network slice.

Disclosed are various embodiments for managing assignments of network slices. In one embodiment, a request is received to allocate a network slice in a radio-based network having a radio access network and an associated core network to an application connected to the radio-based network. The request specifies a set of quality-of-service constraints required for the network slice. A set of network functions in the radio-based network is configured to implement the network slice.

Managing assignments of network slices

Generally described, one or more aspects of the present application correspond to a highly distributed replica of a volume stored in a networked elastic computing environment. First and second replicas of the volume can be synchronously replicated, and some implementations of the tertiary replica can be asynchronously replicated. The highly distributed nature of the tertiary replica supports parallel data transfer of the data of the volume, resulting in faster creation of backups and new copies of the volume.

Rapid volume backup generation from distributed replica

A snapshot object or other type of object may be stored in a first storage system and may be accelerated in another storage system, wherein an accelerated snapshot or other type of object can be used to populate volumes in the other storage system with data more rapidly than a non-accelerated snapshot or other type of object. The accelerated snapshot or other object may be implemented using an intermediate volume implemented in the other storage system that is populated with data from the snapshot object or the other object stored in the first storage system.

Growing community of inventors

Redmond, WA, United States of America

Igor A Kostic