Flash Memory Data Retrieval by Update Frequency
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Solution Overview
Problem
In flash memory systems, data with low update frequency is inefficiently searched due to its storage in areas with small addresses, while data with high update frequency is stored in areas with large addresses, leading to reduced search efficiency.
Innovation Solution
A data-processing method where data with high update frequency is transferred to storage areas with larger addresses, and data with low update frequency is stored in areas with smaller addresses, with identifiers indicating update status, allowing for efficient data retrieval by altering the search order based on update frequency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data with low update frequency is stored in storage areas with small addresses, then storage space is utilized efficiently, but search efficiency deteriorates
Solution Approach 1:
The storage area is divided into multiple sectors, and within each sector, data is further segmented into storage areas with different address ranges. The invention segments the search process into two phases: a quick search using update frequency information and a precise search using address comparison, allowing efficient retrieval without scanning the entire storage space.
Solution Approach 2:
The invention performs preliminary classification of data based on update frequency before storage. Data is pre-sorted into high-update-frequency and low-update-frequency categories, and their corresponding storage locations are pre-determined. This preliminary organization enables fast search by first filtering based on update frequency, then only searching the relevant portion of storage areas.
2Ease of operation
If data with high update frequency is stored in storage areas with large addresses, then data access pattern is simplified, but search efficiency deteriorates
Solution Approach 1:
The system performs preliminary classification of data based on update frequency before storage. Data is pre-sorted into high-update-frequency and low-update-frequency categories, and their corresponding storage locations are pre-determined. This preliminary organization enables fast search by first filtering based on update frequency, then only searching the relevant portion of storage areas.
Solution Approach 2:
The invention creates a copy of the storage area structure that includes metadata about update frequency. Instead of storing only data, the system stores both the data and its update frequency information, allowing the search process to use this copied information to quickly identify relevant data without scanning the entire storage space.
3Device complexity
If conventional search methods are used, then implementation is simple, but data retrieval efficiency is reduced
Solution Approach 1:
The search process is segmented into two distinct phases: a quick search phase that uses update frequency information to filter candidates, and a precise search phase that compares addresses of remaining candidates. This segmentation allows the system to achieve high retrieval efficiency while maintaining relatively simple implementation, as each phase uses straightforward comparison operations.
Solution Approach 2:
The search method is dynamic rather than static. Instead of using a fixed search algorithm, the system adapts its search strategy based on the update frequency characteristics of the data. The search process dynamically adjusts which storage areas to examine first, based on real-time analysis of data access patterns and update frequencies, optimizing retrieval efficiency for each specific search operation.
Data Source
AI summary
A data-processing method in a flash memory with a plurality of sectors, the method includes arranging first data which is not updated in a first sector at a leading portion of a second sector and adding a first identifier of the first data to the second sector by a memory control circuit when transferring data in the first sector to the second sector, the plurality of sectors including the first sector and the second sector.