Aggregation Platform for Dynamic NFV Service Customization
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Solution Overview
Problem
Current 5G NFV technologies lack dynamic Network Function (NF) customization, leading to reduced operator innovation capability and prolonged time-to-market for services due to static and time-consuming mapping processes between high-level requirements and vendor-specific NFV descriptors.
Innovation Solution
An aggregation platform that receives requests for a data model, determines and transmits an aggregation platform data model, and generates deployment templates based on received requirements, eliminating the need for multiple, non-automated mappings by matching model identifiers with repositories and applying algorithms to create customized NFV network services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional NFV deployment processes use static mapping between high-level requirements and vendor-specific NFV descriptors, then vendor product constraints are maintained, but the process becomes time-consuming and reduces operator innovation capability
Solution Approach 1:
The patent introduces dynamic NF customization capabilities that allow network functions to be adapted at runtime based on operator requirements. The system enables dynamic service chain configuration, resource allocation, and NF behavior modification without being constrained by static vendor-defined templates, thus resolving the contradiction between maintaining vendor constraints and improving deployment efficiency
Solution Approach 2:
The invention allows operators to modify NF parameters, configuration attributes, and behavioral characteristics dynamically. The system supports parameter customization at multiple levels (NF instance, service chain, resource allocation) enabling operators to adapt vendor products to specific needs without redeployment, thereby accelerating service delivery while maintaining vendor product integrity
2Manufacturing precision
If multiple time-consuming mappings are performed between high-level requirements, Network Function repository, intermediate form of requirements, and NFV descriptors, then comprehensive requirement coverage is achieved, but the deployment time increases significantly
Solution Approach 1:
The patent extracts and eliminates the complex multi-stage mapping process by introducing a direct requirement-to-deployment template generation approach. The system directly translates high-level requirements into deployment templates without requiring intermediate mappings through vendor-specific repositories and descriptors, thus maintaining requirement coverage while dramatically reducing deployment time
Solution Approach 2:
The invention introduces an intermediary layer (customization engine) that sits between requirement specification and NFV deployment. This intermediary automatically generates deployment templates from high-level requirements using algorithmic approaches, replacing the manual multi-step mapping process and reducing both time and complexity while maintaining accuracy
3Stability of the object's composition
If vendor software product packaging uses hardcoded subsystem dependencies and pre-defined service and component chaining, then product stability is ensured, but dynamic NF customization capability is reduced
Solution Approach 1:
The patent segments the NFV deployment into independent, configurable components that can be dynamically assembled. The system breaks down monolithic vendor products into modular NF instances, service chains, and resource allocations that can be independently customized and reconfigured, maintaining product stability through modular design while enabling dynamic adaptation to operator needs
4Reliability
If traditional telecommunication physical appliance structures are used for NFV deployment, then guaranteed scalability and performance are achieved, but software flexibility is limited
Solution Approach 1:
The patent replaces the mechanical/physical appliance structure with a virtualized, software-defined NFV architecture. The system uses virtual NF instances and software-configurable service chains instead of fixed hardware appliances, maintaining guaranteed performance through virtual resource allocation and scaling mechanisms while dramatically increasing software flexibility and adaptability
Data Source
AI summary
The present disclosure relates to aggregation platforms and requirement owners. One example aggregation platform is configured to receive a request from a requirement owner, where the received request comprises a request for an aggregation platform data model (APDM); determine an APDM based on the received request, where the determined APDM comprises at least one relationship between at least one model and at least one associated model repository, transmit the determined APDM to the requirement owner, receive an aggregation requirement (AR) from the requirement owner, where the received AR comprises at least one model identifier and at least one associated model repository identifier, and generate a deployment template (DP) based on the received AR.