Dynamic Read Buffer Allocation for NVM Reliability
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Solution Overview
Problem
Conventional read disturb algorithms for Non-Volatile Memory (NVM) devices lead to excessive write amplification and reduced lifetime due to inefficient management of read buffers, which do not consider access frequency information to cache hot data, resulting in decreased random read performance and increased background activities.
Innovation Solution
The proposed solution involves dynamically managing read buffers based on access frequency information, using a combination of most frequently used and most recently used policies to allocate and release buffers, thereby reducing read disturb events and enhancing throughput and reliability of NVM storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional read disturb algorithms perform periodic integrity checks on memory pages exceeding read threshold, then data integrity is maintained, but random read performance decreases and write amplification increases
Solution Approach 1:
The system performs preliminary actions by caching frequently accessed data in read buffers before integrity issues arise. By proactively maintaining hot data in buffers and performing background integrity checks on cold data, the system prevents performance degradation while maintaining reliability, rather than reactively handling errors after they occur.
Solution Approach 2:
Read buffers serve as an intermediary layer between the host and NVM device. The buffer manager mediates read operations by serving hot data from buffers, reducing the frequency of direct NVM reads and thereby decreasing read disturb effects and integrity check requirements on the actual storage medium.
2Device complexity
If read buffers are not dynamically managed based on access frequency, then buffer allocation is simple, but read disturb effects increase and NVM lifetime decreases
Solution Approach 1:
The buffer management system dynamically adapts to changing access patterns by continuously tracking access frequencies and adjusting buffer allocations accordingly. The system transitions from static buffer management to dynamic management where buffers are allocated and released based on real-time access frequency information, optimizing NVM protection without excessive complexity.
Solution Approach 2:
The system implements feedback mechanisms by monitoring access frequency of data and using this information to adjust buffer allocation decisions. The buffer manager receives feedback from access patterns and modifies buffer management strategies accordingly, creating a closed-loop system that protects NVM while adapting to workload characteristics.
3Ease of operation
If access frequency information is not utilized for buffer allocation, then allocation process is straightforward, but throughput decreases and latency increases
Solution Approach 1:
The buffer management system serves itself by automatically tracking access frequencies and making allocation decisions without requiring complex external control. The system uses inherent access pattern information to self-optimize buffer allocations, improving throughput while maintaining operational simplicity through automated decision-making.
Solution Approach 2:
The system changes the allocation parameter from simple FIFO or LRU ordering to access-frequency-based prioritization. By modifying the allocation criterion to consider access frequency, the system achieves better throughput and latency performance while the underlying allocation mechanism remains conceptually simple and easy to implement.
Data Source
AI summary
Various implementations described herein relate to systems and methods for dynamically managing buffers of a storage device, including receiving, by a controller of the storage device from a host, information indicative of a frequency by which data stored in the storage device is accessed, and in response to receiving the information determining, by the controller, the order by which read buffers of the storage device are allocated for a next read command. The NAND read count of virtual Word-Lines (WLs) are also used to cache more frequently accessed WLs, thus proactively reducing read disturb and consequently increasing NAND reliability and NAND life.