An apparatus in one embodiment comprises a processing platform that includes a plurality of processing devices each comprising a processor coupled to a memory. The processing platform is configured to implement virtual resources of at least a first cloud-based system. The processing platform further comprises a user-specific cloud infrastructure identification module configured to determine user-specific cloud infrastructure within the first cloud-based system, a virtual representation generator module configured to generate an interactive three-dimensional visualization of the first cloud-based system based on the user-specific cloud infrastructure, and a virtual representation display module configured to output the interactive three-dimensional visualization of the first cloud-based system via at least one type of interface.

Aspects of the subject disclosure may include, for example, a core network; an access network communicatively coupled with the core network, wherein the access network comprises a plurality of network resources; a network resource abstraction layer, wherein the network resource abstraction layer comprises descriptor objects that define a plurality of universal resource ports, and wherein each universal resource port of the plurality of universal resource ports corresponds to a respective network resource of the plurality of network resources; and a software-defined network configured to leverage the plurality of network resources, via the plurality of universal resource ports, to facilitate end-to-end service composition and delivery. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, obtaining information regarding a plurality of network resources available in an access network, wherein the plurality of network resources is abstracted as a plurality of universal resource ports, wherein the information identifies, for each network resource, a respective universal resource port, and wherein the information identifies capabilities of the plurality of network resources; receiving, from an external system, a request for a service to be provided for a UE; identifying a first set of universal resource ports based on the information and the request, wherein the first set of universal resource ports corresponds to a first set of network resources that have particular capabilities associated with the service; and causing a controller to define a route, that includes the first set of universal resource ports, to orchestrate provisioning and delivery of the service for the UE. Other embodiments are disclosed.

A method includes: receiving, by a computing device, a microservice code from a user device; identifying, by the computing device, a service used by the microservice code; identifying, by the computing device, the service in a target cloud platform; generating, by the computing device, a modified microservice code by adding a predefined code template to the microservice code, the predefined code template being associated with the service in the target cloud platform; receiving, by the computing device, user input defining a value of a parameter in the predefined code template in the modified microservice code; and generating, by the computing device, a new deployment file for the target cloud platform based on the modified microservice code.

Device Assisted Services (DAS) for protecting network capacity is provided. In some embodiments, DAS for protecting network capacity includes monitoring a network service usage activity of the communications device in network communication; classifying the network service usage activity for differential network access control for protecting network capacity; and associating the network service usage activity with a network service usage control policy based on a classification of the network service usage activity to facilitate differential network access control for protecting network capacity.

Device Assisted Services (DAS) for protecting network capacity is provided. In some embodiments, DAS for protecting network capacity includes monitoring a network service usage activity of the communications device in network communication; classifying the network service usage activity for differential network access control for protecting network capacity; and associating the network service usage activity with a network service usage control policy based on a classification of the network service usage activity to facilitate differential network access control for protecting network capacity.

Embodiments of the present disclosure include a method, a device, and a system for deploying a network slice. The method, device and system disclosed herein are related to the field of communications technologies, and are designed to solve the problem of low efficiency in manually deploying a network slice. An exemplary solution includes: a first network management unit receiving a network slice management request message that carries service traffic information of a network slice, and, based on the service traffic information of the network slice, deploying the network slice or selecting an available network slice in an existing network.

A communication method and an apparatus are provided. The method includes: A common application programming interface framework core function (CCF) network element first sends reference information of an application to a first network element. Therefore, the first network element determines network slice information corresponding to the application; and then the first network element sends the determined network slice information to the CCF network element. In this way, the CCF network element may determine the network slice information corresponding to the application, so that when an API invoker network element searches for an API, the CCF network element can accurately find, based on an API inquiry parameter, the API from a network slice corresponding to the network slice information.

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).

Device group partitions and a settlement platform are provided. In some embodiments, device group partitions (e.g., partitions of devices based on associated device groups) are provided. In some embodiments, a settlement platform service is provided. In some embodiments, a settlement platform service is provided for partitioned devices. In some embodiments, collecting device generated service usage information for one or more devices in wireless communication on a wireless network; and aggregating the device generated service usage information for a settlement platform for the one or more devices in wireless communication on the wireless network is provided. In some embodiments, a settlement platform implements a service billing allocation and/or a service/transactional revenue share among one or more partners. In some embodiments, service usage information includes micro-CDRs, which are used for CDR mediation or reconciliation that provides for service usage accounting on any device activity that is desired. In some embodiments, each device activity that is desired to be associated with a billing event is assigned a micro-CDR transaction code, and a service processor of the device is programmed to account for that activity associated with that transaction code. In some embodiments, a service processor executing on a wireless communications device periodically reports (e.g., during each heartbeat or based on any other periodic, push, and/or pull communication technique(s)) micro-CDR usage measures to, for example, a service controller or some other network element for CDR mediation or reconciliation.