Propagating Network Slice Constraints via Solution Map Model
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Solution Overview
Problem
Current intent-based management and network automation efforts primarily focus on the run-time phases of network slice lifecycle management, neglecting the intent-based design of the preparation phase, which results in inefficiencies due to the use of pre-defined network slice templates that may not align with varying consumer requirements.
Innovation Solution
A method and apparatus for propagating placement constraints and isolation requirements from user intents and operator policies to the constituents of network slices and communication services, involving the decomposition of intents and policies into functionalities stored in a solution map model, and deploying virtual and physical network functions accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If pre-defined network slice templates are used for deployment, then deployment efficiency is improved, but adaptability to varying consumer requirements deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-defining network slice templates with standardized structures and configurations that can be quickly deployed. However, it enhances this by allowing customization of template parameters (such as resource allocation, slice characteristics) to adapt to different consumer requirements while maintaining the efficiency of template-based deployment.
Solution Approach 2:
The patent enables parameter changes by allowing dynamic adjustment of template parameters and slice characteristics during the deployment process. This facilitates adaptation to varying consumer requirements while retaining the benefits of pre-defined templates, resolving the contradiction between deployment efficiency and adaptability.
2Manufacturing precision
If intent-based design is implemented in the preparation phase, then alignment with consumer requirements is improved, but deployment complexity increases
Solution Approach 1:
The patent introduces an intermediary mechanism that translates consumer intents into concrete deployment configurations. This intermediary layer simplifies the complexity by providing a structured approach to converting high-level requirements into actionable deployment parameters, maintaining alignment with consumer needs while managing deployment complexity.
Solution Approach 2:
The patent applies segmentation by dividing the network slice deployment into distinct phases (preparation, deployment, operation) and breaking down the intent-based design into manageable components. This segmentation reduces overall complexity by allowing focused handling of requirements at each stage rather than attempting to address all complexity simultaneously.
3Reliability
If placement constraints and isolation requirements are propagated to all constituents, then network slice isolation and performance are improved, but management complexity increases
Solution Approach 1:
The patent implements feedback mechanisms that automatically adjust placement and isolation configurations based on network conditions and requirements. This automated feedback loop reduces management complexity by eliminating manual intervention while maintaining strong isolation and performance characteristics through dynamic adaptation.
Solution Approach 2:
The patent applies universality by creating a unified framework that handles placement constraints and isolation requirements across all network slice constituents using consistent policies and procedures. This universal approach simplifies management complexity by providing a single set of rules that apply throughout the network slice lifecycle, rather than requiring separate management mechanisms for each component.
Data Source
AI summary
The disclosure relates to a method, system, apparatus and non-transitory computer readable media for propagating placement constraints and isolation requirements, from user intents and operator policies to constituents of user requested network slices (NwSs) and communication services (CSs). The method comprises decomposing the user intents and the operator policies into functionalities corresponding to the constituents of the requested NwSs and CSs, and storing the functionalities in a solution map (SM) model. The method comprises propagating the placement constraints to the functionalities in the SM model. The method comprises propagating the isolation requirements to the functionalities in the SM model. The method comprises deploying constituent virtual network functions (VNFs) and physical network functions (PNFs) of the NwSs and CSs, according to the corresponding functionalities of the SM model.


