Transaction Response Combiner for Divergent Validation Nodes
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Solution Overview
Problem
Existing Validation Architecture systems often produce diverging responses from nodes due to hardware, software, or operational discrepancies, especially in Level 0 and Level 1 systems, which can lead to erroneous outputs without adequate automated recovery mechanisms.
Innovation Solution
A system with a Transaction Response Combiner (TRC) that tags and queues responses from multiple nodes, applying rules to combine them into a final, consistent output, even in cases of overlapping or out-of-order responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple nodes process transactions independently in a Validation Architecture system, then processing speed and system throughput are improved, but response divergence and data consistency deteriorate due to hardware, software, or operational discrepancies
Solution Approach 1:
A Transaction Response Combiner is introduced as an intermediary component that receives responses from multiple nodes, tags them with transaction identifiers, queues them appropriately, and combines them into a unified final response. This mediator resolves the contradiction by maintaining high throughput from parallel node processing while ensuring response consistency through centralized combination logic.
Solution Approach 2:
The system implements feedback mechanisms where node responses are collected, compared, and combined through the Transaction Response Combiner. The combiner uses feedback from multiple node responses to generate a final unified response, ensuring that discrepancies are resolved and consistency is maintained while preserving the benefits of parallel processing.
2Reliability
If automated response combination mechanisms are implemented to resolve node discrepancies, then response consistency and database integrity are improved, but system complexity increases
Solution Approach 1:
The response combination function is segmented into distinct modular components: a Transaction Response Combiner for receiving and initial processing of responses, tagging mechanisms for identifying transaction associations, queuing systems for managing response sequences, and combination logic for generating final responses. This segmentation reduces overall system complexity by creating manageable, independent functional units.
Solution Approach 2:
The Transaction Response Combiner is designed as a universal component that handles multiple functions: receiving responses from any node, tagging with transaction identifiers, queuing responses in appropriate sequences, detecting corresponding responses, applying combination rules, and generating final responses. This multi-functionality reduces the need for separate specialized components, thereby reducing system complexity while maintaining reliability.
3Measurement precision
If responses from multiple nodes are processed and combined, then accuracy and reliability of final output are improved, but processing time increases due to additional validation and combination steps
Solution Approach 1:
Responses are tagged with transaction identifiers and queued in advance before final combination occurs. This preliminary organization of responses by transaction ID and timing allows the combination process to proceed efficiently without requiring complex real-time analysis, thereby reducing the time penalty associated with processing multiple node responses while maintaining high output accuracy.
Data Source
AI summary
A method, apparatus, and computer program product are provided for combining output responses corresponding to a plurality of matching user requests in a transaction response combiner (TRC) that includes memory. Each output response includes response details. The TRC receives an output response for each of the user requests. Each output response is tagged with an identifier that corresponds with the respective user request. At least some of the tagged output responses are inserted into the memory. It is detected when an output response received at the TRC has one or more corresponding output responses in the memory by searching for output responses that have the same tag. Rules of a rules engine are applied to combine the output responses received at the TRC for each of the matching user requests into a final output response. The rules of the rules engine are applied to the corresponding output responses with the same tag, and to the response details for the output responses that share the same detected tag. The final output response is outputted by the TRC.