Network Graph Database Mapping for Interface Description Accuracy
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Solution Overview
Problem
Large and complex digital networks face challenges in efficiently managing and troubleshooting due to incorrect interface descriptions of devices, which hinder effective communication and resource sharing, making it difficult to identify and rectify issues across numerous interconnected devices.
Innovation Solution
A method utilizing a large language model (LLM) to formulate a desired network configuration graph database that corrects incorrect interface descriptions by comparing them to the actual state of devices, generating a database that accurately represents the network, and using this database to simulate and map the network for efficient management and troubleshooting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If interface descriptions are manually maintained for each device in a large digital network, then device information can be stored, but incorrect descriptions accumulate causing troubleshooting difficulties and communication issues
Solution Approach 1:
The system automatically discovers devices and generates interface descriptions without manual intervention. Network devices self-report their interface information through standardized protocols, eliminating the need for manual configuration and reducing errors from human input
Solution Approach 2:
The system continuously monitors network devices and compares actual interface states against recorded descriptions. When discrepancies are detected, the system automatically updates the database, creating a closed-loop feedback mechanism that maintains accuracy over time
2Measurement precision
If each device in a large network is individually accessed and reviewed to identify issues, then complete information can be obtained, but the process becomes extremely time-consuming and inefficient
Solution Approach 1:
The network is divided into manageable segments represented as graph nodes and edges. This structured segmentation allows systematic analysis of network topology and enables efficient querying of specific device relationships without examining every device individually
Solution Approach 2:
A centralized graph database serves as an intermediary between network devices and management systems. This database consolidates interface description information from all devices, providing a single point of access that eliminates the need to query each device separately while maintaining complete network information
3Reliability
If manual methods are used to correct interface descriptions across numerous devices, then accuracy can be improved, but the correction process becomes labor-intensive and difficult to maintain
Solution Approach 1:
Devices automatically report their own interface states to the graph database through standardized network protocols. This self-service approach ensures descriptions remain synchronized with actual device configurations without requiring manual updates
Solution Approach 2:
The system implements continuous monitoring that compares recorded interface descriptions against actual device states. When mismatches are detected, automated correction processes update the database, creating a self-healing system that maintains accuracy without manual intervention
Data Source
AI summary
A method of formulating a desired network configuration graph database representative of a network can include receiving network information regarding multiple devices; generating an existing network configuration graph database representative of the multiple devices; and determining whether each interface description for each device correctly describes the device by comparing each interface description to an actual state of the device. The method can include, in response to the interface description being inaccurate, generating an entry in an interface description database that includes identification information of the device, the incorrect interface description for the device, and a correct interface description for the device for each incorrect interface description; formulating the desired network configuration graph database representative of the multiple devices; providing the desired network configuration graph database and a first prompt to a large language model; and determining an output regarding the network and dependent upon the desired network configuration graph database.


