Digital Node Duplication for Multi-Vendor Messaging Error Analysis
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Solution Overview
Problem
In communication networks, diagnosing error states in multi-vendor environments is cumbersome due to the inability to analyze all communication scenarios and message sequences comprehensively, leading to inefficient problem-solving and reduced network availability.
Innovation Solution
The implementation of digital models of network nodes based on transaction contexts allows for accurate replication of messaging sequences, enabling enhanced error analysis and automated remediation without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual error analysis methods are used in multi-vendor networks, then human intervention can handle complex errors, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The patent creates a digital model (copy) of the correspondent node that replicates its transaction contexts, messaging sequences, and operational behavior. This digital twin allows error analysis to be performed on the replica instead of requiring manual intervention with the actual node, thereby maintaining analysis accuracy while significantly reducing diagnosis time and enabling automated remediation
Solution Approach 2:
The system pre-establishes the digital model with complete transaction contexts and messaging sequences before errors occur. By having the replica ready and configured in advance, the system can immediately replicate and analyze errors when they happen, eliminating the time-consuming setup phase of manual error analysis
2Measurement precision
If comprehensive analysis of all communication scenarios is performed, then error detection precision improves, but the complexity of the system increases
Solution Approach 1:
The patent segments the error analysis function by separating it into two independent components: the actual network node and its digital model replica. This segmentation allows comprehensive scenario analysis to be performed on the isolated digital model without adding complexity to the production network, as the replica contains all necessary transaction contexts and messaging sequences in a controlled environment
Solution Approach 2:
The digital model serves as an intermediary between the actual network node and the error analysis process. Instead of directly analyzing complex multi-vendor interactions in the live network, the system uses the digital replica as a mediator to reproduce and analyze errors, thereby maintaining high detection precision while avoiding the complexity of direct intervention in the production system
3Extent of automation
If digital models are used to replicate messaging sequences, then automated error analysis is enabled, but the initial setup complexity increases
Solution Approach 1:
The digital model is initialized automatically by extracting transaction contexts directly from the actual network node's operations. The system self-configures the replica by capturing messaging sequences and transaction states without requiring manual setup, thereby enabling automated error analysis while minimizing the complexity burden through self-initialization
Data Source
Figure 1
Figure 2A~2B
Figure 2C~2D
AI summary
According to an example aspect of the present invention, there is provided an apparatus comprising at least one processing core and at least one memory storing instructions that, when executed by the at least one processing core, cause the apparatus at least to store a set of transaction contexts of transactions a network function has begun with a correspondent node, initiate, based at least in part on the set of transaction contexts, a digital model of the correspondent node, and based on an error the network function encounters in a messaging sequence with the correspondent node, replicate at least partly the messaging sequence in the digital model of the correspondent node.