Automated RAID Label Regeneration for Destroyed Data Volumes
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for recovering destroyed data volumes in storage networks are time-consuming, error-prone, and require manual intervention, often necessitating booting into maintenance mode and relying on accurate documentation, which can lead to data corruption if incorrect information is entered.
Innovation Solution
A method and apparatus that updates configuration information only when necessary, allowing for the selection of disks from the most recent saved configuration to recover a destroyed volume by identifying candidate disks, generating proper RAID labels, and writing them to the disks, thereby reducing the frequency of updates and minimizing the risk of data corruption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual label editing is used to recover destroyed volumes, then volume recovery is possible, but the process becomes time-consuming and error-prone
Solution Approach 1:
The system automatically performs volume recovery by detecting destroyed volumes and regenerating their RAID labels without requiring manual user intervention. The storage device manager autonomously identifies candidate disks, retrieves saved configuration information, and regenerates labels, making the recovery process self-service oriented and eliminating time-consuming manual editing.
Solution Approach 2:
The system changes the state of RAID labels from manual editing mode to automatic regeneration mode. By detecting the destroyed volume state and automatically regenerating labels with correct configuration parameters, the system transforms a manual parameter-editing process into an automated parameter-regeneration process, reducing both time and errors.
2Measurement precision
If frequent updates of saved configuration information are performed, then configuration accuracy is maintained, but system performance deteriorates due to repeated write operations
Solution Approach 1:
Instead of continuous or frequent updates, the system implements periodic updates triggered only by specific events (volume creation, modification, or destruction). The saved configuration information is updated at discrete points in time when changes occur, rather than continuously, reducing write operations while maintaining accuracy.
Solution Approach 2:
The system uses feedback mechanisms to determine when updates are necessary. By monitoring volume configuration changes and triggering updates only when actual changes occur, the system avoids unnecessary write operations. The feedback loop ensures configuration accuracy is maintained only when needed, optimizing performance.
3Reliability
If maintenance mode is required for volume recovery, then recovery functionality is available, but system accessibility is reduced
Solution Approach 1:
The volume recovery function is moved from maintenance mode to normal operational mode. The storage device manager automatically detects and recovers destroyed volumes during regular system operation, eliminating the need for users to boot into maintenance mode. This self-service approach maintains recovery capability while preserving full system accessibility.
Solution Approach 2:
The storage device manager integrates multiple functions including normal storage operations and volume recovery into a single unified system. By making recovery functionality available alongside regular storage operations, the system achieves multi-functionality without requiring separate maintenance mode access, improving ease of operation.
4Reliability
If manual intervention is required for volume recovery, then recovery can be performed, but the complexity of the recovery process increases
Solution Approach 1:
The recovery process is transformed from a complex manual procedure to an automated self-service process. The storage device manager automatically detects destroyed volumes, identifies candidate disks, retrieves configuration information, and regenerates labels without requiring user intervention. This eliminates the complexity of manual operations while maintaining recovery success rate.
Solution Approach 2:
The system performs preliminary actions by pre-storing configuration information and pre-identifying candidate disks before recovery is needed. When volume destruction occurs, the recovery process can immediately use pre-prepared information, eliminating the need for complex real-time manual configuration and reducing overall process complexity.
Data Source
AI summary
In an embodiment of the invention, a method is provided for updating configuration information associated with a data volume. The method reduces the occurrences of updates of saved configuration information of a data volume by updating the saved configuration information only when a change occurs in a configuration of the data volume.