L2P Lookup Packing for Higher Sequential Read Throughput
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Solution Overview
Problem
The increasing computational demand in data storage management systems leads to complexities in mapping logical addresses to physical addresses, inhibiting sequential read performance due to intermixed read commands, requiring additional logic and delay.
Innovation Solution
A controller groups physical page number entries into segments based on PPA granularity, classifies them into bin queues, and performs packing and release operations to optimize sequential read commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the L2P LUT upscales with drive size, then the mapping capacity increases, but sequential read performance is inhibited due to intermixed read commands
Solution Approach 1:
The patent segments the L2P mapping into multiple bin queues organized by PPN segment size and placement. This segmentation allows sequential read commands to be processed in isolated segments rather than being intermixed, thereby maintaining mapping capacity while improving sequential read performance through structured command organization.
Solution Approach 2:
The patent introduces a new dimensional organization by classifying PPN segments into multiple bin queues based on segment size and placement characteristics. This multi-dimensional classification enables the system to handle both sequential and random read commands efficiently without performance degradation, resolving the contradiction between mapping capacity and sequential read performance.
2Productivity
If more read commands are packed to maximize throughput, then productivity increases, but additional logic and delay are required for packing operations
Solution Approach 1:
The patent performs preliminary classification of PPN segments into bin queues before the actual read operations. By pre-organizing segments according to their size and placement characteristics, the system reduces the complexity of real-time packing operations and minimizes additional logic requirements while maintaining high throughput.
Solution Approach 2:
The bin queue structure enables self-organizing behavior where PPN segments are automatically classified and queued based on their characteristics. This self-service mechanism reduces the need for complex external packing logic and minimizes processing delay, allowing the system to achieve high throughput with reduced operational complexity.
Data Source
AI summary
Methods and devices are provided in which a controller of a storage device groups physical page number (PPN) entries into PPN segments. The PPN entries correspond to a command received at the storage device. The controller classifies the PPN segments into bin queues of the storage device based on PPN segment size and PPN entry placement with respect to a physical page (PPA) granularity. The controller packs a PPA with one or more PPN segments from the bin queues to the PPA granularity, and releases the PPA.


