SSD Scanning Agent for Logical Block Address Proximity
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Solution Overview
Problem
Existing solid-state drive (SSD) read operations in NAND flash memory are inefficient due to random distribution of logical block addresses, resulting in low data throughput, with only 25% effectiveness in single-plane mode and 12.5% in dual-plane mode, as only the requested data slip is transferred while the rest of the page is dropped.
Innovation Solution
An information handling system with a scanning agent that asynchronously scans sequences of logical block addresses, identifies frequently proximate addresses, and communicates this information to the SSD controller to organize data in physical pages, ensuring that multiple frequently accessed logical block addresses are stored together, thereby increasing data throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data slips are randomly distributed through different pages in NAND flash memory, then data can be stored flexibly, but read operation effectiveness drops to 25% in single-plane mode and 12.5% in dual-plane mode
Solution Approach 1:
The system performs preliminary analysis of I/O operation patterns to identify frequently proximate logical block addresses before organizing data. The scanning agent proactively scans sequences of LBAs and determines proximity relationships in advance, allowing the SSD controller to pre-organize data in physical pages according to these patterns, thereby improving future read efficiency without sacrificing storage flexibility
Solution Approach 2:
The system dynamically adapts data organization based on observed access patterns. The scanning agent continuously monitors I/O operations and updates the understanding of frequently proximate LBAs, allowing the SSD to reorganize data in physical pages according to changing access patterns, thus maintaining both flexibility and high read effectiveness
2Measurement precision
If only the requested data slip is transferred to the host while the rest of the page is dropped, then precise data retrieval is achieved, but data throughput is significantly reduced
Solution Approach 1:
The system merges multiple data slips that are frequently accessed together into the same physical page. By organizing LBAs that are frequently proximate into unified physical page structures, the SSD can transfer multiple valid data slips in a single read operation rather than dropping unused data, thereby increasing throughput while maintaining precise retrieval of requested data
Solution Approach 2:
The scanning agent provides feedback about access patterns to the SSD controller, which then adjusts data organization in physical pages accordingly. This feedback loop ensures that data is organized to maximize throughput based on actual usage patterns while maintaining the precision of data retrieval by preserving the logical structure needed for accurate data identification
Data Source
AI summary
An information handling system may include a processor and a scanning agent including a program of instructions embodied in computer-readable media communicatively coupled to the processor, and configured to, asynchronously from input/output operations to a solid state drive communicatively coupled to the processor: scan sequences of logical block addresses corresponding to consecutively occurring input/output operations to the solid state drive; determine logical block addresses that are frequently proximate to each other in the sequences; and communicate information regarding the logical block addresses that are frequently proximate to each other in the sequences to the solid state drive, such that a controller of the solid state drive uses the information to organize data in physical pages of the solid state drive such that at least one physical page includes logical block addresses that are frequently proximate to each other in the sequences.