Memory Data Integrity Scans for Time-Based Error Remediation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data integrity management in memory subsystems lacks sufficient information to dynamically select remedial actions as memory devices increase in density, leading to inefficiencies in error correction and reliability.
Innovation Solution
Performing data integrity checks to determine changes in bit error rates and elapsed time between scans, allowing the host system or memory subsystem to prioritize and select remedial actions such as reprogramming, changing bit density, or adjusting data use based on these metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If memory device density is increased, then storage capacity is improved, but data error rate increases
Solution Approach 1:
The patent implements dynamic remedial actions that adapt to changing error rates over time. The system continuously monitors bit error rates and adjusts remediation strategies based on the rate of change, transitioning from static error correction to dynamic adaptation. This allows the system to optimize between maintaining high-density storage and managing increasing error rates through time-based remedial actions.
Solution Approach 2:
The system changes operational parameters by monitoring bit error rates over time intervals and adjusting remedial actions based on the rate of change. When error rates exceed thresholds or show rapid increases, the system modifies storage parameters such as reprogramming data, changing bit density, or adjusting data usage patterns. This parameter adaptation resolves the contradiction by allowing density increases while compensating for error rate increases through dynamic parameter adjustment.
2Reliability
If traditional error correction methods are used, then data reliability is maintained, but system efficiency decreases
Solution Approach 1:
The patent applies partial remedial actions by monitoring bit error rates and only initiating corrective measures when error rates exceed specific thresholds or show significant rates of change. Instead of continuously correcting all potential errors, the system performs remedial actions selectively based on actual error conditions. This partial action approach maintains data reliability when needed while avoiding unnecessary remediation operations that would reduce system efficiency.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring bit error rates over time intervals and using this information to dynamically adjust remedial actions. The feedback loop compares current error rates against historical data and thresholds, enabling the system to maintain reliability through targeted corrections while improving efficiency by avoiding unnecessary remediation. The feedback-driven approach transforms static error correction into an adaptive process that responds only when actual errors occur.
3Measurement precision
If frequent data integrity checks are performed, then error detection capability is improved, but time overhead increases
Solution Approach 1:
The patent implements periodic data integrity checks at strategically determined time intervals rather than continuous monitoring. The system performs bit error rate measurements at specific time points and analyzes the rate of change between intervals. This periodic approach provides sufficient error detection capability to identify trends and trigger remedial actions while minimizing the time overhead associated with frequent continuous monitoring. The periodic checks are optimized to detect errors early enough to enable effective remediation without excessive time consumption.
Data Source
AI summary
Exemplary methods, apparatuses, and systems include performing an initial data integrity scan of a subset of memory at an initial time to determine an initial error rate for the subset of memory. The initial error rate and the initial time are stored. A subsequent integrity scan of the subset of memory is performed at a second time to determine a subsequent error rate for the subset of memory. A difference between the initial error rate and the subsequent error rate is determined. A difference between the initial time and the subsequent time is determined. A remedial action is selected using the difference between the initial error rate and the subsequent error rate and the difference between the initial time and the subsequent time and the remedial action is performed.