Read Temperature Adjustment Engine for Storage Devices
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Solution Overview
Problem
Conventional read temperature identification systems in information handling systems are inefficient due to high costs, increased complexity, inaccuracy, and performance impacts, as they require significant host memory, are not power-fail safe, and lack granularity in tracking data access patterns, leading to suboptimal storage resource allocation.
Innovation Solution
A read temperature adjustment engine that identifies data access patterns based on read disturb information, determining a read temperature adjustment level and transmitting instructions to adjust storage device settings to optimize data placement, thereby reducing costs and improving accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional read temperature identification systems use host memory and host processor to track read access, then read temperature can be identified, but host memory requirements increase significantly and system complexity increases
Solution Approach 1:
The storage device autonomously tracks read access patterns and determines read temperatures using its own memory and processor resources, eliminating the need for host system involvement in read temperature identification. The storage device serves itself by monitoring its own access patterns and autonomously adjusting data placement based on read temperature categories.
Solution Approach 2:
The read temperature identification function is extracted from the host system and transferred to the storage device. The storage device independently performs read access tracking, read temperature determination, and data relocation operations without requiring host memory or processor resources, thereby reducing host system complexity and memory requirements.
2Reliability
If conventional systems use host processor and memory for read temperature tracking, then read temperature data can be collected, but the system is not power-fail safe and requires additional persistent power implementation
Solution Approach 1:
The storage device autonomously maintains read temperature information in its own memory structures and continuously updates read access counters during normal operation. This self-managed approach ensures data integrity without requiring external power backup systems, as the storage device preserves its own operational state independently.
Solution Approach 2:
The storage device proactively maintains redundant copies of critical read temperature data and implements error correction mechanisms in advance, ensuring data persistence and integrity even during power failures. This preventive approach eliminates the need for separate persistent power implementation by building resilience into the storage device's own operational architecture.
3Measurement precision
If conventional read temperature systems track all logical storage locations, then comprehensive read temperature data is available, but the granularity and accuracy of data access pattern tracking is insufficient
Solution Approach 1:
The storage device divides logical storage locations into discrete units and maintains separate read access counters for each unit, enabling fine-grained tracking of read patterns at the level of individual data structures. This segmentation allows precise identification of read temperatures for different data types and access patterns without excessive processing overhead.
Solution Approach 2:
The storage device applies different tracking granularities to different logical storage locations based on their specific access patterns and data characteristics. High-priority or frequently accessed data structures receive more detailed monitoring, while less critical data uses coarser tracking, optimizing the balance between measurement precision and processing efficiency.
4Productivity
If conventional systems implement read temperature tracking in the host, then read temperature information can be obtained, but storage resource allocation remains suboptimal
Solution Approach 1:
The storage device continuously monitors read access patterns, determines read temperature categories, and uses this feedback to dynamically adjust data placement decisions. This closed-loop feedback mechanism ensures that hot data is automatically placed on high-performance storage media while cold data is moved to cost-effective media, optimizing storage resource allocation based on actual observed access patterns.
Solution Approach 2:
The storage device implements dynamic data placement that adapts to changing read patterns over time. Read temperatures are continuously updated based on recent access history, allowing the system to respond to evolving data popularity and access characteristics, thereby maintaining optimal storage resource utilization even as workloads change.
Data Source
AI summary
A read-disturb-based read temperature adjustment system includes a read temperature adjustment subsystem that is coupled to the storage device. The read temperature adjustment subsystem identifies data that is stored in a block in the storage device and that is associated with a read temperature that is based on read disturb information associated with the block, determines a read temperature adjustment level for the data based on one or more data characteristics of the data and, based on the read temperature adjustment level, transmits a read temperature adjustment instruction to the storage device that causes the storage device to adjust the read temperature associated with the data.