Memory Controller Chunk Prioritization for Data Recovery
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Solution Overview
Problem
Current memory systems face challenges in efficiently recovering data from non-volatile memory devices due to the lack of effective prioritization and management of data and parity chunks during read or program operations, leading to potential data loss and increased recovery times.
Innovation Solution
Implementing an erasure coding method that assigns different weights or priorities to data chunks and parity chunks, allowing for dynamic allocation of resources and prioritized recovery operations based on the failure of individual chunks, enabling quick data recovery even when some chunks are lost.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data chunks and parity chunks are treated equally during recovery operations, then the recovery process is simple to manage, but data recovery time increases and data loss risk increases
Solution Approach 1:
The patent assigns different priorities to different types of chunks (data chunks vs. parity chunks). Data chunks are given higher priority than parity chunks during recovery operations. This local differentiation in treatment allows the system to focus recovery resources on the most critical data first, improving overall data recovery efficiency without requiring complete reconstruction of all chunks
Solution Approach 2:
The patent pre-assigns priority levels to different chunk types before recovery operations begin. By establishing the priority hierarchy (data chunks > parity chunks) in advance, the system eliminates the need for complex real-time decision-making during recovery, simplifying management while ensuring optimal recovery sequencing
2Productivity
If all chunks are recovered simultaneously, then resource allocation is balanced, but recovery time increases and operation margins are excessive
Solution Approach 1:
The patent implements dynamic resource allocation during recovery operations based on chunk priority. Instead of static simultaneous recovery of all chunks, the system dynamically adjusts recovery sequencing to process high-priority data chunks first, then proceeds to lower-priority parity chunks. This dynamic approach reduces total recovery time while maintaining balanced resource utilization throughout the process
3Reliability
If priority-based recovery is implemented, then data recovery efficiency improves, but the management system becomes more complex
Solution Approach 1:
The patent changes the parameter of chunk priority assignment from uniform (equal priority) to differentiated (variable priority based on chunk type). By modifying this single parameter - the priority level assigned to different chunks - the system achieves improved data protection without requiring fundamental changes to the recovery management architecture. The complexity increase is minimal, confined to the priority assignment logic
Data Source
AI summary
A memory system includes a non-volatile memory device and a controller. The non-volatile memory device includes plural memory groups storing plural chunks. The controller is capable of generating the plural chunks including data chunks and parity chunks based on original data, assign different priorities to the data chunks and the parity chunks, and recovering at least one chunk among the plural chunks based on the different priorities when an operation regarding the at least one chunk fails.