Memory Page Allocation by Access Pattern and Endurance
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Solution Overview
Problem
Memory devices experience uneven wear due to differential program/erase cycles across blocks, leading to premature failure of frequently used blocks and reduced capacity.
Innovation Solution
Implementing wear leveling techniques that distribute program/erase cycles evenly across memory blocks by storing frequently accessed data in strong pages and infrequently accessed data in weak pages, based on access and endurance characteristics, and adjusting allocation based on memory utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data is stored in frequently accessed memory blocks, then access speed is improved, but memory endurance deteriorates due to excessive program/erase cycles
Solution Approach 1:
The memory is segmented into multiple blocks with different endurance characteristics. The system divides memory resources into strong blocks (higher endurance) and weak blocks (lower endurance), allowing differential allocation strategies for different data types based on their access patterns and importance.
Solution Approach 2:
Different quality levels of memory blocks are utilized based on local characteristics. Frequently accessed or critical data is allocated to strong blocks with higher endurance, while less critical data is placed in weak blocks. This local quality differentiation optimizes both access performance and overall system reliability.
2Duration of action of stationary object
If wear leveling is implemented to distribute program/erase cycles evenly, then memory lifespan is improved, but memory capacity utilization deteriorates due to conservative allocation
Solution Approach 1:
The memory allocation strategy is made dynamic rather than static. The system continuously monitors block wear levels, access patterns, and utilization metrics, adjusting data placement decisions in real-time. This dynamic approach allows the system to maximize capacity utilization while maintaining wear leveling by adapting to changing conditions.
Solution Approach 2:
The system changes allocation parameters based on monitored conditions. When strong blocks have available capacity, the system adjusts to allocate more data there; when they fill up, it transitions to using weak blocks. This parameter adjustment enables full utilization of total memory capacity while distributing wear appropriately.
3Reliability
If strong pages are preferentially allocated to frequently accessed data, then access reliability is improved, but device complexity increases due to monitoring and management overhead
Solution Approach 1:
The memory management system performs self-service through automated monitoring and decision-making. The controller independently tracks block characteristics, evaluates data access patterns, and makes allocation decisions without external intervention. This self-service capability reduces the need for complex external management mechanisms while maintaining high reliability.
Solution Approach 2:
The system implements feedback loops where access patterns are monitored and fed back into the allocation algorithm. This feedback mechanism allows the system to learn from actual usage and continuously optimize data placement, improving reliability while keeping management complexity manageable through rule-based decision logic.
Data Source
AI summary
A device may include a memory, and a device controller configured to perform one or more operations may include storing, in a page of the memory, data, wherein the storing the data may be based on an access characteristic of the data, and an endurance characteristic of the page of the memory. The device controller may be configured to perform one or more operations including storing, in a second page of the memory, second data, wherein the storing the second data may be based on a second access characteristic of the second data, and a second endurance characteristic of the second page of the memory. The device controller may be configured to determine the endurance characteristic of the page of the memory based on a structure of the memory. The device controller may be configured to determine the endurance characteristic of the page of the memory based on an indication.


