Storage Controller Write Modes for Predictable Latency Windows
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Solution Overview
Problem
Existing storage systems fail to optimize data recovery time and correction capabilities in accordance with the degradation state of non-volatile memory, leading to inefficiencies in deterministic and non-deterministic latency modes.
Innovation Solution
Implementing a storage controller that operates in a predictable latency mode (PLM) to analyze metrics associated with non-volatile memory, selecting optimal write and read operation approaches based on these metrics to manage deterministic and non-deterministic windows, using techniques such as error correction, data compression, and different cell write modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If normal write mode is used without metric analysis, then device complexity is reduced, but data reliability deteriorates due to inability to adapt to memory degradation
Solution Approach 1:
The storage controller analyzes metrics associated with the non-volatile memory to generate metric analysis results, which provide feedback on the memory degradation state. Based on this feedback, the controller dynamically selects appropriate write operation approaches (such as acceleration write mode, single level write mode, multi-level write mode, or normal write mode) to maintain data reliability while adapting to changing memory conditions.
Solution Approach 2:
The system transitions from a static write operation mode to a dynamic selection mechanism that chooses among multiple write operation approaches based on real-time metric analysis of memory degradation. This dynamic adaptation allows the storage controller to optimize write operations according to the current state of the non-volatile memory.
2Reliability
If deterministic window operations use optimal write approaches based on metric analysis, then data reliability is improved, but processing time increases due to additional analysis steps
Solution Approach 1:
The storage controller performs metric analysis and selects optimal write operation approaches in advance during the deterministic window, before actual write operations commence. This preliminary preparation ensures that when write operations are executed, the most appropriate method is already determined, minimizing delays during critical latency-constrained periods.
3Adaptability or versatility
If multiple write operation approaches are implemented, then adaptability to memory degradation is improved, but device complexity increases
Solution Approach 1:
Different write operation approaches are applied locally based on specific metric analysis results and degradation patterns. The storage controller selects from multiple specialized modes (acceleration write mode for early degradation, single level write mode for moderate degradation, multi-level write mode for advanced degradation) to match the current memory state, rather than using a single universal approach.
4Reliability
If error correction and recovery operations are performed during deterministic window, then data reliability is improved, but latency requirements become harder to meet
Solution Approach 1:
The storage controller performs metric analysis and selects recovery approaches in advance during the deterministic window. By preparing the optimal recovery strategy beforehand based on metric analysis, the system minimizes the time required for actual error correction operations while ensuring data reliability is maintained.
Data Source
AI summary
An operating method for a storage controller in a storage system including a non-volatile memory (NVM) may include; receiving a write command defining a write operation in accordance with a predictable latency mode of the storage system that defines a deterministic window and a non-deterministic window, determining whether the write operation is performed during the deterministic window or the non-deterministic window, upon determining that the write operation is performed during the non-deterministic window, performing the write operation using a normal write mode, upon determining that the write operation is performed during the deterministic window, analyzing a metric associated with the NVM to generate metric analysis results, selecting a write operation approach from among a plurality of write operation approaches in response to the metric analysis results to define a selected write operation approach, and performing the write operation using the selected write operation approach.