Retained Sector Reprocessing for Data Buffer Error Recovery
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Solution Overview
Problem
Data processing systems face challenges in error detection and correction, particularly in scenarios where data sectors are kicked out of memory before successful processing, leading to potential data corruption and increased latency due to varying signal-to-noise ratios and limited processing resources.
Innovation Solution
The implementation of a data processing system with retained sector reprocessing capabilities, which allows data sectors to be retained and reprocessed using additional resources or time, employing Viterbi-type detectors and LDPC decoders, and utilizing control signals to manage sector retention and reprocessing, including features like Targeted Symbol Flipping and No SyncMark Retry.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data sectors are kicked out of memory buffer after initial processing attempt, then memory space is freed for new data, but data integrity is compromised when processing fails
Solution Approach 1:
The memory buffer dynamically adjusts its retention policy based on processing outcomes. Sectors that fail initial processing are retained in the buffer for reprocessing attempts, while successfully processed sectors are kicked out to free memory space. This dynamic retention strategy resolves the contradiction by making memory usage adaptive rather than static.
Solution Approach 2:
The system performs preliminary processing attempts on data sectors before committing to kick them out of the buffer. By attempting error detection and correction in advance and retaining failed sectors for additional processing, the system ensures data integrity is maintained while managing memory resources efficiently.
2Reliability
If data sectors are reprocessed multiple times in memory buffer, then data integrity is improved, but processing latency increases
Solution Approach 1:
The system maintains continuous processing capability by reprocessing failed sectors within the memory buffer without requiring external intervention or system pauses. This continuous reprocessing action improves error correction success rates while minimizing additional latency by keeping the processing pipeline active.
Solution Approach 2:
The memory buffer serves itself by automatically retaining and reprocessing failed sectors without external control. The buffer identifies sectors that failed initial processing and initiates reprocessing attempts independently, reducing the need for external memory access and minimizing additional processing latency.
3Measurement precision
If additional processing resources are allocated to challenging sectors, then signal-to-noise ratio gains are improved, but system complexity increases
Solution Approach 1:
The system applies additional processing resources selectively to specific sectors that failed initial processing, rather than uniformly to all data. This localized application of enhanced processing (such as additional decoding iterations or alternative error correction algorithms) improves signal-to-noise ratio detection accuracy for challenging sectors while avoiding unnecessary complexity in the overall system.
Data Source
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AI summary
Various embodiments of the present inventions are related to apparatuses and methods for data processing systems with retained sector reprocessing. For example, a data processing system is disclosed that includes a data processor operable to process blocks of data and to yield corresponding processed output blocks of data, and to retain the blocks of data for reprocessing when requested, and a scheduler operable to receive reprocessing requests for the retained blocks of data and to initiate a reprocessing operation in the data processor for the retained blocks of data.