Automated Communication Device Metadata Generation
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Solution Overview
Problem
The manual process of defining communication device metadata templates is time-consuming and slows down the creation of new devices and components in communication networks, as it requires consulting documentation and is costly and prone to delays due to outdated information.
Innovation Solution
A system and method for automatically generating communication device metadata definitions by receiving device information from instances within the network, using algorithms or rules engines to create metadata definitions that represent device attributes, and learning from actual devices to improve accuracy and completeness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual process is used to define communication device metadata templates by consulting documentation, then metadata definitions can be created, but the process is time-consuming and slows down device creation
Solution Approach 1:
The system automatically copies device information from actual device instances in the network to generate metadata definitions, eliminating the need for manual documentation consultation. The metadata template generator extracts attributes directly from live device data, thereby reducing time loss while maintaining definition accuracy.
Solution Approach 2:
The system enables self-service by allowing device metadata definitions to be automatically generated from the devices themselves. The metadata template generator retrieves information directly from device instances without requiring external documentation or manual intervention, making the process self-sufficient and time-efficient.
2Reliability
If manual process is used to create metadata templates, then device models can be defined, but the process is costly and prone to delays due to outdated information
Solution Approach 1:
The system copies current device information directly from active device instances in the network, ensuring metadata definitions are based on up-to-date information. This eliminates the reliability issue of outdated documentation while maintaining ease of creation through automation.
Solution Approach 2:
The system implements feedback by continuously retrieving current device information from live device instances. This feedback mechanism ensures metadata definitions reflect the actual current state of devices, improving reliability while the automated process maintains ease of creation.
3Productivity
If automated generation is used to create metadata definitions from device information, then device modeling process is simplified and accelerated, but requires algorithms or rules engines
Solution Approach 1:
The system introduces a metadata template generator as an intermediary component that bridges device information and metadata definitions. This intermediary handles the complexity of algorithmic processing internally, thereby accelerating productivity while shielding users from system complexity.
Solution Approach 2:
The system replaces the manual mechanical process of metadata creation with an automated algorithmic system. The metadata template generator uses algorithms or rules engines to automatically process device information and generate metadata definitions, dramatically improving productivity while encapsulating complexity within the automated system.
Data Source
AI summary
A system, method, and computer program product are provided for automatically generating communication device metadata definitions. In use, device information is received from at least one instance of at least one communication device associated with a communication network. Additionally, a device metadata definition associated with the at least one communication device is automatically generated utilizing the device information, the device metadata definition representing at least attributes of the at least one communication device.