According to some embodiments, a system to automate platform provisioning for an enterprise includes a platform resource computer store containing a set of electronic data records (each including a component identifier and a set of computing characteristic values). A profile engine may receive a platform request from a user associated with the enterprise and identify, based on data in the platform resource computer store, a resource bundle of components appropriate in view of the platform request. A platform generator may receive platform requirements based on the identified resource bundle of components and provide input data to a REST API service. Final platform definition information for the enterprise may be stored into a central repository. According to some embodiments, a platform provisioning system may process IaaS and PaaS automation components and utilize a return service to generate infrastructure binding data to couple components in the resource bundle to each other.

This document describes techniques and devices for determining a machine-learning architecture for network slicing. A user equipment (UE) and a network-slice manager communicate with each other to determine a machine-learning (ML) architecture, which the UE then employs to wirelessly communicate data for an application. In particular, the UE selects a machine-learning architecture that provides a quality-of-service level requested by an application. The network-slice manager accepts or rejects the request based on one or more available end-to-end machine-learning architectures associated with a network slice that supports the quality-of-service level requested by the application. By working together, the UE and the network-slice manager can determine an appropriate machine-learning architecture that satisfies a quality-of-service level associated with the application and forms a portion of an end-to-end machine-learning architecture that meets the quality-of-service requested by the application.

A method of deploying a network service across a plurality of data centers, includes the steps of: in response to a request for or relating to a network service, identifying virtual network functions associated with the network service and determining network connectivity requirements of the virtual network functions, issuing commands to provision a virtual link between at least two of the data centers in which the virtual network functions are to be deployed.

The technology described herein allocates resources in a cloud computing environment using a 5G network. The system can connect a device to the 5G network and collect data related to the device such as a location of the device and characteristics of use of the device with the 5G network. The system can create a device service profile of the device based at least in part on the data related to the device. The system can then dynamically partition computing resources within the cloud computing environment for the device based on the device service profile and a time-of-day in the location of the device to thereby provide on-demand access to content or services in the cloud computing environment to the device over the 5G network.

An apparatus and a method for generating a descriptor for a network slice are provided. The apparatus includes a transceiver, a memory storing one or more instructions, and at least one processor configured to execute the one or more instructions stored in the memory to obtain requirements for a network slice, determine at least one of a plurality of network slice templates (NSTs), a plurality of network slice descriptors (NSLDs), or a plurality of network slice instances (NSIs), based on the obtained requirements, when at least one of the plurality of NSTs is determined, determine at least one specific node to substitute for a plurality of abstract nodes included in the at least one of the plurality of NSTs, based on the obtained requirements, and generate a descriptor for a network slice, based on the determined at least one specific node.

Disclosed is a network capability exposure method, which includes receiving a service request sent by a third-party device; determining a type of a network capability required according to the service request; determining a computing task matching the type of the network capability required; determining computing resources exposed by at least one physical device; obtaining a computing resource exposure result based on the computing task and the computing resources exposed by the at least one physical device; acquiring a network capability corresponding to the type of the network capability and the computing resource exposure result; and providing the network capability to the third-party device. Further, a network capability exposure device, a network capability exposure system and a non-transitory computer-readable storage medium are also disclosed.

An example method includes receiving, from a customer system by a cloud exchange comprising processing circuitry, a request to communicatively couple a virtual gateway on network infrastructure of the cloud exchange to a network gateway communicatively coupled to a public network, the request including data indicating a public Internet Protocol (IP) address of the customer system, wherein the customer system is configured with a first connection communicatively coupling the customer system and the public network via a network service provider (NSP) that is separate from the cloud exchange; configuring, by the cloud exchange, a network route for a network gateway to the virtual gateway, the network gateway communicatively coupled to the public network; and providing, by the cloud exchange to the network gateway, routing information including the public IP address of the customer system to create a second connection communicatively coupling the customer system and the public network.

The present invention relates to concepts underlying the realization of a virtual data session, and in more detail to a virtual data session control device, to a fixed wireless access device supporting a virtual data session, to a user data plane device supporting a virtual data session, to an access and mobility management device supporting a virtual data session, and to related control methods. Here, a virtual data session is an aggregation of at least two data sessions (22, 24) set up between at least two fixed wireless access devices (26, 28) forming a fixed wireless access domain in a cellular infrastructure and a data plane device (20) providing interconnection functionality between the cellular infrastructure and an external data network (18).

Embodiments of the present disclosure provide methods and apparatuses for service management. A method at a service communication proxy (SCP) comprises receiving a first request for creating a service entry, wherein the first request includes at least one parameter to build the service entry context. The method further comprises creating the service entry based on the parameters in the first request. The method further comprises applying the service entry to process a service request from a network function (NF) consumer.

A service invocation method and a network device are provided. The method applied to a service provider side includes: receiving a service request for a first service by a provider of the first service, the service request being sent by a service consumer; sending a service response for the first service by the provider of the first service to the service consumer, wherein the service response for the first service includes service invocation information or a service invocation result of at least one second service associated with the first service, the service invocation information is configured to instruct the service consumer to invoke the second service.