Storage Volume Recovery via Page Map Revision
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Solution Overview
Problem
Information handling systems face significant downtime due to unexpected offline events caused by missing or duplicate pages in data storage volumes, leading to prolonged periods before data is accessible again, as current solutions require extensive support processes and analysis.
Innovation Solution
A method to recover from data storage errors by evaluating and revising the page map, creating or eliminating pages as necessary, and optionally creating a clone of the logical storage architecture to ensure data integrity and restore volume availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional support processes are used to diagnose and resolve volume offline issues, then data integrity and accuracy are maintained through manual analysis, but recovery time increases significantly to tens of hours or more
Solution Approach 1:
The system performs self-diagnosis by automatically evaluating the page map to identify missing or duplicate pages, and executes self-repair by revising the page map without external intervention. This automated self-service mechanism resolves the contradiction by eliminating manual support processes while maintaining data integrity through systematic evaluation and revision protocols.
Solution Approach 2:
The system creates a clone of the logical storage architecture before making revisions to the page map. This preliminary action preserves the original state as a backup, allowing safe automated recovery operations while maintaining the ability to revert if needed, thus ensuring data integrity while enabling rapid automated recovery.
2Measurement precision
If manual data gathering and analysis processes are used to resolve storage errors, then accurate problem identification is achieved, but the complexity and duration of the repair process increases to tens of hours
Solution Approach 1:
The patent replaces manual mechanical processes (support personnel physically gathering and analyzing data) with an automated electronic system that evaluates the page map using computer-implemented methods. This substitution maintains accurate problem identification through systematic algorithmic evaluation while dramatically reducing process complexity and time requirements.
3Speed
If the page map is revised immediately upon detecting storage errors, then recovery speed is improved, but the risk of introducing new errors or data loss increases
Solution Approach 1:
The system creates a clone of the logical storage architecture before revising the page map. This preliminary cloning action provides a safety backup that protects against potential errors during the revision process, enabling rapid recovery while maintaining data safety through the protective clone that can be restored if needed.
Solution Approach 2:
The system evaluates the page map to identify specific issues (missing or duplicate pages), implements revisions, and can revert if problems persist. This feedback mechanism ensures that recovery operations are monitored and controlled, allowing the system to maintain data safety while achieving rapid recovery through iterative evaluation and correction.
Data Source
AI summary
A method of recovering from a data storage error includes determining that a data storage error has occurred. The method further includes, upon receiving direction from the user to recover from the data storage error, evaluating a page map relating a logical storage architecture with a physical storage architecture. The method also includes revising the page map based on the evaluating. The data storage error may be one or more of a (i) a missing page and (ii) a duplicate page.