Dynamic Failed Event Database Update via Component Modification Retry
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Solution Overview
Problem
Distributed processing systems face challenges in maintaining up-to-date information about event failures, leading to inaccurate predictions and potential delays in message, application, or service execution due to static failed event databases that are not automatically updated when components or resources change.
Innovation Solution
A method and system for dynamically updating a failed event database by retrying failed events when associated components or resources are modified, ensuring that the database reflects current failure status and preventing unnecessary delays or failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a failed event database is maintained statically to ensure data consistency, then reliability is improved, but adaptability deteriorates because the database does not automatically update when components or resources change
Solution Approach 1:
The system enables automatic self-updating of the failed event database by monitoring component modifications and automatically retrying failed events associated with modified components, eliminating the need for manual database updates and maintaining both consistency and adaptability
Solution Approach 2:
The system implements a feedback mechanism where the monitoring of component changes triggers automatic retry operations, and the results of these retries feed back into the database to update failure status information, creating a closed-loop system that maintains data accuracy dynamically
2Adaptability or versatility
If the failed event database is updated frequently to improve adaptability, then adaptability is improved, but loss of time increases due to continuous monitoring and updating operations
Solution Approach 1:
The system performs periodic monitoring of component modifications and triggers retry operations only when changes are detected, rather than continuously updating the database, thus reducing time loss while maintaining adaptability to component changes
3Measurement precision
If manual updates are performed on the failed event database to maintain accuracy, then measurement precision is improved, but ease of operation deteriorates due to increased operational complexity
Solution Approach 1:
The system automatically monitors component changes, identifies associated failed events, executes retry operations, and updates the database without human intervention, thereby maintaining high accuracy while significantly simplifying operational complexity
Data Source
AI summary
A facility for event failure management is provided, which includes providing a failed event database containing failed event information relating to failed events and one or more components associated with each of the failed events. Upon modification to a component associated with a failed event, the failed event is retried. Based on a result of retrying the failed event, failed event information of the failed event database is updated. The failed event database may therefore be dynamically and/or automatically updated so that it contains up-to-date and appropriate information for predicting and/or managing event failures.