Host-Allocated Memory Error Prediction and Region Exclusion
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Solution Overview
Problem
Existing memory systems face challenges in predicting and preventing errors in memory regions, leading to potential data loss.
Innovation Solution
A memory system with a memory management module that predicts error occurrence in memory regions and transmits warning signals to host devices, allowing for proactive management and data migration or reallocation to prevent defects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If memory regions are allocated to host devices without error prediction, then allocation speed is improved, but data reliability deteriorates due to potential errors
Solution Approach 1:
The memory management module performs error prediction analysis on memory regions before allocating them to host devices. This preliminary action identifies potentially defective regions in advance, allowing the system to allocate only reliable memory regions, thus maintaining both fast allocation and high data reliability.
Solution Approach 2:
The system implements a feedback mechanism where error prediction results from memory operations are fed back to the memory management module. This feedback enables dynamic adjustment of memory region reliability assessment, ensuring that only verified reliable regions are allocated to host devices.
2Reliability
If error prediction and warning mechanisms are implemented, then data loss prevention is improved, but system complexity increases
Solution Approach 1:
The memory management module autonomously performs error prediction analysis and automatically generates warning signals without requiring external intervention. This self-service approach prevents data loss while avoiding the need for complex external monitoring systems.
Solution Approach 2:
The error prediction and warning functions are merged into the existing memory management module, which already handles memory region allocation. This integration avoids adding separate complex subsystems while achieving reliable data loss prevention.
3Reliability
If defective memory regions are identified and warned, then data integrity is improved, but allocation efficiency may worsen due to restricted available regions
Solution Approach 1:
By performing error prediction analysis in advance during the allocation process, the system identifies reliable memory regions before allocation. This preliminary identification ensures that only trustworthy regions are allocated, maintaining data integrity without causing delays during actual allocation operations.
Solution Approach 2:
The error prediction analysis focuses on critical parameters and high-risk memory regions rather than exhaustive checking of all regions. This partial action approach maintains data integrity for allocated regions while avoiding excessive analysis that would reduce allocation efficiency.
Data Source
AI summary
In an embodiment of the disclosed technology, a defective memory region is detected on the basis of operation information of a memory region included in a memory system and allocated to a host device, a warning signal is transmitted to a host device to which the defective memory region is allocated, and the defective memory region is excluded from a pool of allocatable memory regions to reduce or prevent data loss of a host device using memory regions of the memory system that may occur due to the defective memory region.