AI Network Model Association for Real-Time Function Management
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Solution Overview
Problem
Existing network devices struggle to manage multiple AI models effectively, especially when they are continuously trained and updated, lacking a systematic approach to associate and manage these models with their corresponding network analysis functions.
Innovation Solution
A network model management method and apparatus that involves obtaining and analyzing information about AI models to determine associated network analysis functions, establishing an association relationship between the models and functions, and implementing real-time management through configuration and response messages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If network devices continuously train and update multiple AI models, then the intelligence and adaptability of the network system is improved, but the complexity of managing and associating models with network analysis functions increases
Solution Approach 1:
The patent introduces a model management unit as an intermediary component that specifically handles the association between AI models and network analysis functions. This mediator manages model information including model identifiers, version information, and capability information, and automatically associates models with appropriate functions based on matching capabilities, thereby reducing the complexity burden on the overall network device while enabling continuous model training and updates.
2Adaptability or versatility
If network devices rely on external input AI models, then the flexibility and upgradability of the system is improved, but the ability to perform real-time model management and association deteriorates
Solution Approach 1:
The patent implements a self-service mechanism where the model management unit automatically performs model association with network analysis functions without requiring external intervention. The system uses capability matching between models and functions to automatically determine associations, and can independently manage model updates, version control, and deployment. This automation enables real-time model management while maintaining the flexibility to accept external model inputs and continuously upgrade the system intelligence.
Data Source
AI summary
This application provides a network model management method applied to a first device. The method includes obtaining first information of a network model, determining second information based on the first information, and sending the first and second information to a second device. The first information describes the network model. The second information indicates a network analysis function, and the network analysis function is allowed to use the network model. The foregoing method is used, so that the second device can establish an association relationship between the network model and the network analysis function, to implement real-time management for the network model.