Storage Error Correction Effort Control for Adaptive Data Reads
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Solution Overview
Problem
Enterprise storage systems face challenges in dynamically adjusting error correction efforts to effectively handle errors during data retrieval, as existing methods lack the ability to adaptively manage error correction levels based on available resources and error severity.
Innovation Solution
The system dynamically adjusts error correction efforts by receiving an error correction level from a storage array controller, identifying errors, determining if the required effort exceeds the specified level, and returning an error condition to the controller, allowing for adaptive error correction based on available resources and configurable parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If error correction effort level is increased to handle severe errors, then data retrieval reliability is improved, but processing time and system resources are consumed
Solution Approach 1:
The patent implements dynamic adjustment of error correction effort level based on real-time conditions. The storage device monitors error patterns and system state, then adapts the error correction intensity accordingly. This allows the system to use higher correction efforts only when necessary (improving reliability) while using minimal efforts during normal operation (reducing processing time), resolving the contradiction between reliability and time consumption.
Solution Approach 2:
The system changes the error correction effort level parameter dynamically based on detected error conditions. When errors exceed a threshold, the parameter is adjusted to increase correction intensity; when errors are within acceptable limits, the parameter is reduced to minimize processing overhead. This parameter adaptation resolves the contradiction by optimizing the balance between reliability improvement and time consumption.
2Reliability
If error correction effort level is increased to ensure data accuracy, then data retrieval reliability is improved, but processing overhead increases
Solution Approach 1:
The patent employs dynamic error correction that adjusts effort level based on actual error conditions rather than using a fixed high level. This dynamic approach maintains high data retrieval reliability when needed while preserving processing efficiency during normal operations, resolving the contradiction between reliability and productivity.
Solution Approach 2:
The system applies partial error correction effort - using minimal correction when errors are within acceptable thresholds and intensifying correction only when necessary. This partial action approach ensures data accuracy reliability is maintained through targeted correction while avoiding the excessive processing overhead that would result from always applying maximum correction effort.
3Productivity
If adaptive error correction is implemented to optimize resource usage, then processing efficiency is improved, but system complexity increases
Solution Approach 1:
The storage device implements self-service adaptive error correction by autonomously monitoring its own error conditions and adjusting correction effort levels without external intervention. This self-service mechanism improves processing efficiency through optimized resource usage while limiting complexity growth, as the system manages its own complexity internally rather than requiring complex external control systems.
Solution Approach 2:
The system uses feedback from error detection mechanisms to dynamically adjust error correction effort. The feedback loop monitors error patterns and automatically modulates correction intensity, improving processing efficiency by avoiding unnecessary correction while maintaining reliability. This feedback-based approach manages system complexity by using simple conditional logic rather than complex predictive models.
4Reliability
If maximum error correction effort is always applied, then data accuracy is ensured, but unnecessary processing occurs when errors are within acceptable limits
Solution Approach 1:
The patent applies partial error correction effort based on actual error conditions. When error metrics indicate data accuracy is within acceptable limits, the system uses minimal or no correction effort. When errors exceed thresholds, correction effort is intensified appropriately. This partial action approach ensures data accuracy reliability while avoiding unnecessary processing resource consumption during normal operation.
Solution Approach 2:
The system dynamically changes the error correction effort parameter based on monitored error conditions. The parameter is adjusted to match the actual correction needs - low when errors are acceptable, high when errors exceed thresholds. This parameter adaptation ensures data accuracy is maintained through targeted correction while minimizing processing resource loss during normal operations.
Data Source
AI summary
Dynamically adjusting an error correction effort level of a storage device, including: receiving, from a storage array controller, an error correction effort level to perform when attempting to read data from the storage device; identifying that an attempt to read the data resulted in an error; and determining whether an amount of error correction effort level required to attempt to correct the error exceeds the error correction effort level to perform when attempting to read data from the storage device.


