Flash Storage Coding by Life-Cycle to Cut Decode Latency
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Solution Overview
Problem
Traditional flash memory devices waste resources and increase decoding latency due to the use of complex error correction coding schemes, which are not optimized based on the life-cycle of the storage device, leading to inefficient data storage and retrieval.
Innovation Solution
Adaptive coding schemes are selected based on the life-cycle of the storage device, using less complex schemes for higher integrity storage locations and more complex schemes for lower integrity locations, such as switching between BCH and LDPC coding schemes, to optimize encoding and decoding processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complex error correction coding schemes are used for all storage locations, then data integrity is improved, but power consumption increases and decoding latency increases
Solution Approach 1:
The patent applies different coding schemes to different storage locations based on their life-cycle characteristics. High-integrity locations use complex coding (e.g., BCH+LDPC) while low-integrity locations use simpler coding (e.g., LDPC only), optimizing the balance between data integrity and power consumption for each specific location rather than using a uniform approach across the entire storage device.
Solution Approach 2:
The system dynamically selects coding schemes based on the determined life-cycle of storage locations. The coding complexity is not fixed but adapts according to the actual wear and error characteristics of each location, allowing the system to adjust between complex and simple coding schemes as conditions change.
2Reliability
If complex error correction coding schemes are used for all storage locations, then data integrity is improved, but decoding latency increases
Solution Approach 1:
Different storage locations are assigned different coding schemes based on their specific needs. Locations with higher integrity requirements use complex coding, while locations with lower integrity requirements use simpler coding, thereby reducing overall decoding latency without compromising the integrity of critical data.
Solution Approach 2:
The system dynamically adjusts coding scheme selection based on life-cycle determination, allowing it to switch between complex and simple coding schemes. This dynamic adaptation reduces decoding latency by avoiding unnecessary complex decoding operations on locations where simple coding suffices.
3Reliability
If complex error correction coding schemes are used for all storage locations, then data integrity is maintained, but resource efficiency decreases
Solution Approach 1:
The patent implements location-specific coding schemes where complex error correction is applied only to storage locations that require it based on their life-cycle characteristics. This localized approach maintains data integrity where needed while improving overall resource efficiency by avoiding unnecessary complex coding operations on locations where simpler schemes are sufficient.
4Device complexity
If uniform coding schemes are used across all storage locations, then implementation simplicity is maintained, but resource waste occurs
Solution Approach 1:
The system transitions from a static, uniform coding scheme to a dynamic, adaptive coding scheme selection process. Based on life-cycle determination, the system automatically selects between different coding schemes, making the implementation flexible and efficient without requiring manual configuration or complex manual management.
Solution Approach 2:
The patent changes the parameter of coding scheme complexity based on the life-cycle parameters of storage locations. By adjusting the coding scheme parameter according to actual wear and error characteristics, the system optimizes resource utilization while maintaining implementation feasibility through automated selection.
Data Source
AI summary
Systems and methods for adaptively operating a storage device are provided. A level of integrity of storing data in the storage device is determined. A coding scheme is selected based on the determined level of integrity of the storage device. An operation is performed on the storage device using the selected coding scheme.