Method and apparatus for autonomous services composition

Patent metadata

Field	Value
Publication number	US-11615425-B2
Application number	US-202117541834-A
Country	US
Kind code	B2
Filing date	Dec 3, 2021
Priority date	Feb 13, 2016
Publication date	Mar 28, 2023
Grant date	Mar 28, 2023

Abstract

A cloud services composition system allows customers to interactively create service constructs from network function virtualization resources. The network function virtualization primitives are modeled using a standard modeling language. An expert system suggests network function virtualization resources for use in the service construct, based on an expert system learning algorithm. The customer uses a graphical user interface to interconnect the resources and create the service construct. The process may involve collaboration with the network provider. The resulting construct is validated for use in a communications network.

First claim

What is claimed is:

1. A method, comprising:
employing, by a processing system including a processor, a learning algorithm to perform an analysis of a functional description of a requested network service, the learning algorithm using a plurality of resource models that describe behaviors of virtualized network function resources of a communications network;
suggesting a compatible subset of the virtualized network function resources, to obtain a suggested compatible subset of the virtualized network function resources for use in composing the requested network service based on the analysis of the functional description of the requested network service;
generating, by the processing system and for presentation via user equipment, a composition environment comprising icons representing the suggested subset of the virtualized network function resources for use in composing the requested network service; and
providing, by the processing system, assistance in defining an arrangement of the icons in the composition environment, the assistance provided according to the learning algorithm.

2. The method of claim 1 , wherein the plurality of resource models includes models that describe network requirements of the virtualized network function resources, exposed properties of the virtualized network function resources and interconnection relationships of the virtualized network function resources with other virtualized network function resources.

3. The method of claim 1 , further comprising:
overseeing, by the processing system, validation of the arrangement of the icons of the composition environment as representing a feasible service composition adapted for deployment in the communications network.

4. The method of claim 3 , wherein the validation of the arrangement of the icons further comprises simulating, by the processing system, the requested network service using the resource models.

5. The method of claim 3 , wherein the validation of the arrangement of the icons further comprises determining, by the processing system, whether the communications network contains Layer I resources where required by the requested network service.

6. The method of claim 3 , further comprising:
obtaining, by the processing system, real-time asset information regarding the feasible service composition from a virtual network function management framework, the virtual network function management framework including a data collection, analytics and event engine and an active and available inventory subsystem; and
providing, by the processing system, real time reports of a deployment of the feasible service composition in a dashboard of the composition environment using analytics and visualization tools.

7. The method of claim 3 , wherein a deployment of the feasible service composition in the communications network comprises:
receiving, by the processing system, an order from the user equipment for the requested network service; and
in response to the receiving the order, orchestrating, by the processing system, the requested network service including resource management, metering, and billing management.

8. The method of claim 1 , wherein the arrangement of the icons includes interconnections among the icons.

9. A device, comprising:
a processing system including a processor;
a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising:
employing a learning algorithm to perform an analysis of a functional description of a requested network service, the learning algorithm using a plurality of resource models that describe behaviors of virtualized network function resources of a communications network;
recommending a compatible subset of the virtualized network function resources, to obtain a recommended compatible subset of the virtualized network function resources for use in composing the requested network service based on the analysis of the functional description of the requested network service;
providing for presentation via user equipment, a composition environment comprising icons representing the recommended compatible subset of the virtualized network function resources for use in composing the requested network service; and
providing assistance in defining an arrangement of the icons in the composition environment, the assistance provided according to the learning algorithm.

10. The device of claim 9 , wherein the plurality of resource models further includes models that describe network requirements of the virtualized network function resources, exposed properties of the virtualized network function resources and interconnection relationships of the virtualized network function resources with other virtualized network function resources.

11. The device of claim 9 , wherein the resource models are further defined using a Topology and Orchestration Specification for Cloud Applications open cloud standard modeling language.

12. The device of claim 9 , wherein the operations further comprise:
overseeing validation of the arrangement of the icons obtained from the composition environment as representing a feasible service composition for deployment in the communications network.

13. The device of claim 12 , wherein the validation of the arrangement of the icons further comprises simulating the requested network service using the resource models.

14. The device of claim 12 , wherein the operations further comprise:
deploying the feasible service composition in the communications network to obtain a deployed feasible service composition;
obtaining real-time asset information regarding the feasible service composition from a virtual network function management framework, the virtual network function management framework including a data collection, analytics and event engine and an active and available inventory subsystem; and
providing real time reports of the deployed feasible service composition in a dashboard of the composition environment using analytics and visualization tools.

15. The device of claim 9 , wherein the recommended compatible subset of the virtualized network function resources for use in composing the requested network service is further based on a domain of the user equipment.

16. A non-transitory, machine-readable storage medium comprising executable instructions that, when executed by a processing system including a processor facilitate performance of operations, the operations comprising:
employing a learning algorithm to perform an analysis of a functional description of a requested network service, the learning algorithm using a plurality of resource models that describe behaviors of virtualized network function resources of a communications network;
identifying a compatible subset of the virtualized network function resources, to obtain an identified compatible subset of the virtualized network function resources for use in composing the requested network service based on the analysis of the functional description of the requested network service;
providing for presentation via user equipment, a composition environment comprising icons representing the identified compatible subset of the virtualized network function resources; and
providing assistance in defining an arrangement of the icons in the composition environment, the assistance provided according to the learning algorithm.

17. The non-transitory, machine-readable storage medium of claim 16 , wherein the plurality of resource models includes models that describe network requirements of the virtu

Assignees

• At & T Ip I Lp

Inventors

• Jana Rittwik
• Kirk Thomas
• Aftab Syed Anwar
• Murray John F
• Gilbert Mazin E
• Shi Shu
• Jora Serban
• Zahavi Avi

Classifications

• G06F3/04817

  using icons (graphical or visual programming using iconic symbols G06F8/34) · CPC title

• G06F8/20

  Software design · CPC title

• G06F3/04847

  Interaction techniques to control parameter settings, e.g. interaction with sliders or dials · CPC title

• G06F9/5077

  Logical partitioning of resources; Management or configuration of virtualized resources (specific details on emulation or internal functioning of virtual machines G06F9/455) · CPC title

• G06Q30/016 Primary

  After-sales · CPC title