Zone-Aware Memory Management for Wear Leveling
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Solution Overview
Problem
Existing memory sub-systems face inefficiencies in managing memory zones due to varying data update rates among applications, leading to uneven erase counts among physical memory blocks, which can result in premature wear and data corruption.
Innovation Solution
Implementing zone-aware memory management that tracks the version number of each memory zone and correlates it with the erase counts of physical memory blocks, allowing for optimal block selection and background scans to maintain data integrity and even wear.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional memory management is used without zone awareness, then memory operations are simpler, but erase counts become uneven leading to premature wear and data corruption
Solution Approach 1:
The memory namespace is divided into multiple zones, each independently managed with version tracking. This segmentation allows the system to apply different management strategies to different zones based on their update rates, improving reliability while maintaining manageable complexity through localized control.
Solution Approach 2:
The system performs preliminary actions by tracking version numbers of zones before executing garbage collection or background scans. By identifying zones with low version numbers (indicating infrequent updates) in advance, the system can proactively manage these zones to ensure even wear distribution, preventing premature failure before it occurs.
2Reliability
If background scans are performed on all memory blocks, then data integrity is maintained, but processing time and system resources are excessively consumed
Solution Approach 1:
Background scans are applied selectively rather than uniformly across all memory blocks. Zones with low version numbers (infrequently updated) are identified and scanned with lower priority or less frequently, while zones with high version numbers are scanned more thoroughly. This local differentiation maintains data integrity for critical zones while reducing overall processing time and resource consumption.
Solution Approach 2:
Instead of performing exhaustive background scans on all memory blocks, the system performs partial scans focused on zones that require them most (those with high version numbers indicating frequent updates). This partial action approach maintains adequate data integrity for the most critical zones while significantly reducing the time and resources spent on scanning less critical areas.
3Duration of action of stationary object
If memory blocks are not managed according to zone update rates, then management operations are faster, but wear is uneven causing premature failure
Solution Approach 1:
The garbage collection process is made dynamic by continuously monitoring zone version numbers and adjusting management strategies accordingly. Zones with low version numbers are identified as candidates for garbage collection to reclaim space, while the system correlates this with physical block erase counts to ensure even wear. This dynamic adaptation improves both lifespan extension and collection efficiency.
Solution Approach 2:
The system changes management parameters based on zone characteristics. By correlating zone version numbers with physical block erase counts, the system adjusts garbage collection timing and target selection to optimize for both lifespan extension (through even wear distribution) and productivity (efficient space reclamation). This parameter-based management resolves the contradiction between longevity and efficiency.
Data Source
AI summary
Disclosed is a system including a memory device having a plurality of physical memory blocks and associated with a logical address space that comprises a plurality of zones, wherein each zone comprises a plurality of logical block addresses (LBAs), and a processing device, operatively coupled with the memory device, to perform operations of receiving a request to store data referenced by an LBA associated with a first zone of the plurality of zones, obtaining a version identifier of the first zone, obtaining erase values for a plurality of available physical memory blocks of the memory device, selecting, in view of the version identifier of the first zone and the erase values, a first physical memory block of the plurality of available physical memory blocks, mapping a next available LBA within the first zone to the first physical memory block, and storing the data in the first physical memory block.