SSD Data Recycling Based on Decode Iteration Latency
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Solution Overview
Problem
Solid state storage devices experience data decay over time, requiring increased error correction capability, which leads to higher access latency due to enhanced error correction circuitry.
Innovation Solution
The implementation of an iterative data processing system that applies a data decoding algorithm multiple times to correct errors, with a recycle control circuit determining whether to recycle data based on the iteration count and access frequency to maintain data reliability and reduce latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If enhanced error correction circuitry is employed to correct additional errors, then data reliability is improved, but access latency increases
Solution Approach 1:
The system performs preliminary error correction by applying decoding algorithms to data before it is stored in the buffer, and proactively recycles data that shows signs of degradation. This preliminary action prevents severe errors from developing, reducing the need for extensive error correction during data access operations.
Solution Approach 2:
The error correction process is segmented into multiple iterations of decoding algorithms rather than using a single complex correction circuit. The data is processed through repeated application of decoding algorithms, with each iteration correcting a portion of errors, allowing for more manageable and less latency-intensive error correction.
2Reliability
If data is recycled frequently to maintain reliability, then data decay is mitigated, but system complexity increases
Solution Approach 1:
The system implements feedback mechanisms where the controller monitors data integrity metrics and iteration counts from decoding operations. Based on this feedback, the controller automatically determines when data recycling is necessary, creating a closed-loop system that maintains reliability without requiring complex manual intervention or overly sophisticated control circuitry.
Solution Approach 2:
The buffer and controller work together in a self-service manner where the buffer automatically identifies data candidates for recycling based on access patterns and the controller executes the recycling operation. This self-service approach reduces the need for complex external management systems while maintaining data reliability.
Data Source
AI summary
Systems and method relating generally to solid state memory, and more particularly to systems and methods for recycling data in a solid state memory. The systems and methods include receiving a data set maintained in a memory device, applying at least one iteration of a data decoding algorithm to the data set by a data decoder circuit to yield a decoded output, counting the number of iterations of the data decoding algorithm applied to the data set to yield an iteration count, and recycling the data set to the memory device. The recycling is triggered based at least in part on the iteration count.