Adaptive RAID Parity Allocation for Trust-Based Data Storage
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Solution Overview
Problem
Existing storage devices inefficiently manage RAID parity storage space based on the importance of the data being stored, leading to suboptimal reliability and utilization of resources.
Innovation Solution
A storage device that dynamically determines RAID reliability based on the importance of the data, using a storage controller to group data into units with adjustable sizes and generate parity information accordingly, optimizing parity storage space usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If RAID parity storage space is allocated based on fixed RAID techniques, then data reliability is improved, but storage space utilization deteriorates
Solution Approach 1:
The patent implements dynamic determination of RAID reliability levels based on the importance of data being stored. The storage controller determines an appropriate RAID level for each data set according to its importance, allowing the system to adaptively allocate parity storage space rather than using a fixed RAID configuration for all data. This resolves the contradiction by making parity allocation flexible and data-driven.
Solution Approach 2:
The patent applies different RAID reliability levels to different data based on their importance. Critical data receives higher RAID protection with more parity space, while less important data receives reduced protection. This local differentiation optimizes both reliability for important data and overall storage space utilization.
2Reliability
If uniform RAID protection is applied to all data, then data integrity is improved, but resource management efficiency deteriorates
Solution Approach 1:
The system dynamically adjusts RAID protection levels based on data importance rather than applying uniform protection. The storage controller evaluates data importance and determines appropriate RAID levels accordingly, optimizing resource allocation to match actual protection needs and improving overall resource management efficiency.
Solution Approach 2:
Different RAID protection levels are applied locally to different data sets based on their importance. This localized approach ensures that critical data receives adequate protection while less critical data uses fewer resources, thereby improving resource management efficiency without compromising data integrity where needed.
Data Source
AI summary
A storage device may include a storage medium configured to store data of an external device; and a storage controller configured to control an operation of the storage medium. The storage controller is configured to receive a storage request for the data and an external trust level of the data from the external device, determine an internal trust level of the data as one of a plurality of internal trust levels based on the external trust level in consideration of a status of the storage medium, group the data into unit data having an arbitrary size corresponding to the determined internal trust level, generate parity information corresponding to the determined internal trust level based on the grouped data, and control an operation of storing the grouped data and the parity information in the storage medium.