Provided is a method for performing an action based on a predictive outcome of an intended service deployment. The method includes receiving information pertaining to an intended service deployment. The method further includes receiving data pertaining to the intended service deployment based on the received information. The method further includes determining a predictive outcome of the intended service deployment based on the received data. The method further includes performing an action based on the predictive outcome.

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.

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.

Systems and methods described herein related to real-time management of service deployment systems are disclosed. A management system may monitor an infrastructure environment repository in real-time. Differences in configurations stored within the repository may be identified and used to generate configuration data. The configuration data may be used to update service operating parameters and service deployment configurations. The configuration data may be used to generate deployment data. The deployment data may be utilized to deploy one or more services on an updated infrastructure using the updated services.

Application generation and integration application generation methods are disclosed. An application generation function includes automatically providing a set of software artifacts to an application developer that may be used as an aid to providing an application with augmented capabilities for an end-user. The augmented capabilities configured to adhere to certain rules regarding certification criteria and requirements of a multi-tenant cloud infrastructure. Generated applications and plug-in capabilities may further be required to meet certification criteria applicable to an application store hosted within a cloud infrastructure.

An example computing device is configured to receive an instance of a customer service model representative of a plurality of customer services. Each of the plurality of customer services associated with a corresponding at least one requirement and a corresponding at least one constraint. The computing device is configured to receive an instance of a resource model representative of a plurality of resources and map the instance of the customer service model and the instance of the resource model to an internal placement model. The computing device is configured to allocate the plurality of resources to the plurality of customer services such that the at least one requirement and the at least one constraint for each of the plurality of customer services are satisfied and inverse map data indicating how the plurality of resources are allocated to a format consumable by the customer device and output the inverse mapped data.

A cloud hosting environment configuration interface is provided. Cloud-based services defined in the hosting environment are configured through cloud-based resources using the interface. Previously defined services and their resources can be recalled by reference within the interface and properties and settings for those resources custom modified as needed for a new hosted service. Cloud resources can be added and removed via the interface. In an embodiment, the interface is a Command Line Interface (CLI).

The disclosure relates to a framework for dynamic management of analytic functions such as data processors and machine learned (“ML”) models for an Internet of Things intelligent edge that addresses management of the lifecycle of the analytic functions from creation to execution, in production. The end user will be seamlessly able to check in an analytic function, version it, deploy it, evaluate model performance and deploy refined versions into the data flows at the edge or core dynamically for existing and new end points. The framework comprises a hypergraph-based model as a foundation, and may use a microservices architecture with the ML infrastructure and models deployed as containerized microservices.

The present application describes a method and apparatus for managing a service in a service layer. In particular, a method describes a computer readable storage medium including instructions for managing a service in a service layer where the instructions are executed by a processor. The executed instructions cause the processor to receive a request to manage, via a service enabler function of the service layer, a change of state of the service including adding, removing, activating, or deactivating the service. The request may include a service description. The executed instructions also cause the processor to evaluate, via the service enabler function, the service description comprising identifiers of one or more services to manage. The executed instructions further cause the processor to identify one or more service capabilities in the service layer to assist in managing the one or more services identified in the service description. A request may be sent and/or may instruct the one or more service capabilities to perform the change of state of the one or more services identified in the service description.

Example service processing methods and apparatus are described. One example method includes obtaining a service template set by a first controller. The service template set includes one or more service templates. The first controller sends service template information corresponding to the service template set to a second controller. The first controller receives a first message sent by the second controller. The first message includes first service template information corresponding to a first service template, and the first service template information is determined by the second controller according to a requirement of a first service. The first controller performs provisioning of the first service based on the first service template that is determined based on the first service template information. The second controller determines a corresponding service template according to a service requirement, to trigger the first controller to perform service provisioning based on the service template.