Self-Healing Data Protection Script Matching
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Solution Overview
Problem
Current large-scale data protection systems require extensive manual interaction for troubleshooting and remediation, leading to inefficiencies and increased need for technical support, as executing relevant scripts can cause side effects and additional issues.
Innovation Solution
A self-healing data protection system that automatically matches failed operations with scripts that are most likely to fix problems without causing side effects, using a process that leverages weighted attributes to calculate a score for each script and execute the highest-scoring script to ensure timely and effective remediation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If scripts are executed to automatically solve issues, then troubleshooting efficiency is improved, but side effects and additional issues may be caused
Solution Approach 1:
The patent introduces an intermediary matching system that acts as a mediator between the failed operation and the remedial scripts. This system uses weighted attribute matching to select the most appropriate script, preventing direct and potentially harmful execution of unrelated scripts. The intermediary layer ensures that only scripts with high compatibility scores are executed, thereby reducing side effects while maintaining automation efficiency.
Solution Approach 2:
The patent implements a feedback mechanism where the system continuously monitors the effects of executed scripts and adjusts the matching algorithm accordingly. By tracking which scripts successfully resolve issues without causing side effects, the system refines its attribute weighting and matching criteria over time. This feedback loop enables the system to learn from past executions and improve its script selection accuracy, thereby reducing harmful side effects while maintaining high troubleshooting efficiency.
2Reliability
If manual technical support is used to troubleshoot issues, then accurate problem resolution is achieved, but time consumption and operational complexity increase
Solution Approach 1:
The patent implements a self-service automated troubleshooting system that empowers the data protection system to resolve its own issues without requiring manual technical support intervention. The system automatically detects failed operations, matches them with appropriate remedial scripts using weighted attribute comparison, and executes the selected scripts to resolve issues. This self-service capability maintains high problem resolution accuracy by using sophisticated matching algorithms while dramatically reducing time consumption compared to manual support processes.
Solution Approach 2:
The patent replaces the mechanical system of manual technical support with an automated computational system. Instead of human technicians manually analyzing issues and executing remedies, the system uses algorithmic attribute matching and automated script execution. This substitution maintains reliability through sophisticated matching logic while eliminating the time loss associated with human intervention, thereby resolving the contradiction between accurate problem resolution and time consumption.
3Measurement precision
If multiple scripts are evaluated to find the best match, then script selection accuracy is improved, but system complexity increases
Solution Approach 1:
The patent uses parameter changes in the form of weighted attributes to evaluate and compare multiple scripts. Each script is assigned weights based on how well its attributes match the failed operation's characteristics. By dynamically adjusting and comparing these weight parameters, the system achieves high script matching accuracy. The complexity is managed by focusing on key weighted parameters rather than evaluating all possible script attributes equally, thereby improving precision while controlling system complexity.
Data Source
AI summary
Embodiments automate the timely remediation of issues by matching failed operations to a script or set of scripts that is configured to fix the problem. A method detects a backup operation alert message sent from a data manager or storage system that encodes one or more attributes affected by the backup operation, wherein the attributes are weighted to reflect a percentage importance of the a corresponding script to fix the problem. A script library is scanned to identify scripts that match the alert message. A component generates a score for each script, where the score factors the relevance of the script to the backup operation based on the weighted attributes. Scores for each single script each possible combination of multiple scripts are computed and compared, and the script or script combination with the highest score is executed by the self-healing process.