Adaptive Data Storage Layout for Solid-State Drives
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Solution Overview
Problem
Solid-state storage devices face performance issues due to varying read and stream times and usage characteristics, necessitating an adaptive data layout to optimize performance based on storage medium characteristics and usage patterns.
Innovation Solution
An adaptive storage apparatus that manages solid-state storage elements using an error-correcting code (ECC) write module, adaptive write module, and read module to store and retrieve data across multiple independent channels, optimizing data layout based on read and stream times, and incorporating error correction and data recovery mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is stored using traditional fixed layout on solid-state storage elements, then device structure is simple, but performance is suboptimal due to varying read and stream times
Solution Approach 1:
The patent implements adaptive data layout that dynamically adjusts storage configuration based on detected usage patterns and performance characteristics. The system transitions from static to dynamic data arrangement, optimizing read and stream operations by reconfiguring how data is organized across storage elements according to actual usage conditions.
Solution Approach 2:
The system changes physical or logical parameters of data storage by adjusting data layout configurations based on usage patterns. It modifies storage parameters such as data placement, striping width, and organization structure to match detected usage characteristics, thereby optimizing performance without changing hardware architecture.
2Productivity
If adaptive data layout is implemented to optimize performance, then storage performance improves, but device complexity increases
Solution Approach 1:
The system performs self-optimization by automatically detecting its own usage patterns and adjusting data layout accordingly. The storage device monitors its performance characteristics and autonomously reconfigures data organization without external intervention, eliminating the need for complex manual management while maintaining optimal performance.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor usage patterns and performance metrics, then use this information to adjust data layout configurations. The feedback loop continuously optimizes storage performance by detecting usage characteristics and adapting the data organization structure in response to actual operational conditions.
3Speed
If data is stored across multiple independent channels, then read operations can be optimized, but write operations become more complex
Solution Approach 1:
The patent divides storage data into segments organized across multiple independent channels or stripes. This segmentation enables parallel read operations from different channels, increasing read throughput. The data is split into manageable units that can be independently accessed, allowing simultaneous operations across multiple storage elements.
Solution Approach 2:
The multi-channel data layout serves multiple functions: it enables parallel reads for speed, provides redundancy for error correction, and allows flexible data reconstruction. The same segmented structure supports both performance optimization and data protection mechanisms without requiring separate systems.
4Reliability
If error correction codes are applied to each data segment, then data integrity is improved, but processing overhead increases
Solution Approach 1:
Error correction codes are pre-calculated and embedded with data segments during the write operation. The redundancy information is prepared in advance and stored alongside the primary data, eliminating the need for complex real-time error correction during reads. This preliminary preparation reduces processing time during data retrieval.
Solution Approach 2:
The system creates redundant copies of error correction information that are stored with the data segments. These copies enable quick error detection and correction without requiring complex processing, as the correction data is already available in a ready-to-use format alongside the primary data.
Data Source
AI summary
A storage module is configured to store data segments, such as error-correcting code (ECC) codewords, within an array comprising two or more solid-state storage elements. The data segments may be arranged in a horizontal arrangement, a vertical arrangement, a hybrid channel arrangement, and/or vertical stripe arrangement within the array. The data arrangement may determine input/output performance characteristics. An optimal adaptive data storage configuration may be based on read and/or write patterns of storage clients, read time, stream time, and so on. Data of failed storage elements may be reconstructed by use of parity data and/or other ECC codewords stored within the array.