Flash Memory Lookup Table Prediction for Access Efficiency
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Solution Overview
Problem
The existing data storage systems using flash memory face inefficiencies due to the need to frequently re-establish logical-physical address look-up tables when access commands exceed the recorded mapping relationships, leading to reduced access efficiency.
Innovation Solution
A data storage system that includes a prediction unit and a look-up table management unit, which analyzes previous access commands to establish association rules, manage look-up tables, and predict subsequent access locations, thereby reducing the need for frequent re-establishment of look-up tables and improving hit rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the look-up table records all mapping relationships between PBA and LBA, then the access efficiency is improved, but the storage capacity and cost increase significantly
Solution Approach 1:
The patent applies preliminary action by predicting future access locations based on historical access patterns and pre-establishing look-up tables for those predicted locations before they are actually needed. This proactive approach ensures that when access commands are issued, the look-up tables are already in place, avoiding the need to remove and re-establish them, thus improving access efficiency without requiring complete mapping relationships to be stored
Solution Approach 2:
The patent implements partial action by maintaining only a subset of look-up tables corresponding to frequently accessed or predicted access locations rather than all possible mappings. By using association rules analysis to identify and prioritize important mapping relationships, the system achieves satisfactory access efficiency while using minimal storage capacity for the look-up tables
2Adaptability or versatility
If the look-up table is re-established when access commands exceed recorded mappings, then the adaptability is improved, but the access efficiency deteriorates due to frequent re-establishment
Solution Approach 1:
The system performs preliminary action by analyzing historical access commands to generate association rules, then using these rules to predict future access locations and pre-establish the corresponding look-up tables. This ensures that when access commands are received, the look-up tables are already prepared, eliminating the need for frequent re-establishment operations and maintaining high access efficiency while adapting to changing access patterns
Solution Approach 2:
The patent implements feedback by continuously monitoring access commands and using association rules analysis to update predictions about future access locations. The system uses the outcomes of past access patterns to inform future look-up table establishment decisions, creating a closed-loop system that adapts to changing access behaviors while maintaining optimal performance
Data Source
AI summary
A management method for a data storage device is provided and includes the following steps: obtaining a plurality of association rules according to a plurality of previous access commands; building a plurality of look-up tables according to the association rules; receiving a current access command and determining whether the current access command corresponds to at least one of the look-up tables to obtain physical addresses of the current access command from the corresponding look-up table; predicting a look-up table corresponding to a subsequent access command based on these association rules; and pre-establishing the predicted look-up tables. The invention also provides a data storage system and a data storage device, which can implement the management method described above.