Deleted Data Restoration via Metadata Pointer Rebuilding
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Solution Overview
Problem
In computing environments, inadvertently deleted data sets can result in the loss of valuable user data due to the destruction of metadata pointers, especially when data is not backed up, leading to catastrophic consequences.
Innovation Solution
A computer program and method for deleted data restoration that scans storage space using specified search parameters to locate and rebuild metadata pointers, allowing for the recovery of deleted data sets by identifying and remapping storage space locations, even if the data has reverted to unallocated status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data sets are deleted by erasing metadata pointers, then storage space is freed and can be reallocated, but the actual user data is lost and cannot be recovered
Solution Approach 1:
The system performs preliminary scanning of storage space to identify candidate locations for deleted data before attempting restoration. By proactively searching for data patterns and metadata remnants in advance, the system can recover deleted data sets even after metadata pointers have been erased, thus maintaining data recovery capability while allowing normal storage operations to proceed.
2Reliability
If a full scan of storage space is performed to locate deleted data, then data recovery is possible, but search time and system resources are significantly increased
Solution Approach 1:
The system applies local quality by focusing the search on specific storage regions or data patterns rather than performing a uniform full scan. By identifying and concentrating resources on areas where deleted data is most likely to be found (such as recently freed storage spaces or regions matching known data characteristics), the system reduces search time while maintaining effective data recovery capability.
Solution Approach 2:
The system changes search parameters dynamically based on the recovery situation. By adjusting scan depth, search granularity, and priority levels for different storage regions, the system can balance between thoroughness and speed, allowing for faster recovery operations when complete scanning is not necessary and more comprehensive scanning when data integrity is critical.
3Reliability
If metadata pointers are rebuilt to restore deleted data sets, then data access is recovered, but the risk of incorrect restoration and data corruption increases
Solution Approach 1:
The system implements feedback mechanisms to verify the correctness of restored data before finalizing the restoration process. By continuously monitoring data integrity checks, comparing restored data against known good copies or patterns, and allowing for user verification, the system can detect and correct errors in metadata pointer reconstruction, thereby reducing the risk of data corruption while maintaining effective data access recovery.
Data Source
AI summary
Provided are a computer program product, system, and method for deleted data restoration in accordance with one embodiment of the present description, in which in response to a search request having specified search parameters, data of a deleted data unit is located as a function of specified search parameters. In addition, metadata erased as a result of the deletion operation, is restored as a function of the located data. Accordingly, the previously deleted data unit is undeleted and access to the previously deleted data unit is restored via the restored metadata. Other aspects of deleted data restoration in accordance with the present description are described.