Storage Controller Buffering for Program Efficiency
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Solution Overview
Problem
Existing storage device controllers face inefficiencies in programming data into non-volatile memory due to varying data sizes, leading to suboptimal operational efficiency.
Innovation Solution
The proposed solution involves a controller configuration that includes a volatile memory for storing user data and a program control module. If the user data size is less than a preset unit program size, the controller adds meta data to the user data, ensuring that the final data size matches the unit program size for efficient programming into a non-volatile memory.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the controller performs programming operation whenever data is received regardless of size, then data can be stored promptly, but the operational efficiency of the controller and memory deteriorates
Solution Approach 1:
The controller accumulates user data in a buffer memory before programming it into the non-volatile memory. This preliminary accumulation allows the controller to reach an optimal programming size threshold, improving program operation efficiency while minimizing operational delays through batch processing
2Productivity
If the controller waits for data to reach unit program size before programming, then programming efficiency improves, but data storage is delayed
Solution Approach 1:
The controller dynamically adjusts the programming operation based on the accumulated data size in the buffer. When the buffer reaches the unit program size, programming is executed; otherwise, the controller continues accumulating data. This dynamic approach optimizes both programming efficiency and data storage timing
3Adaptability or versatility
If the controller programs data in variable sizes, then data storage flexibility is maintained, but the programming operation efficiency decreases
Solution Approach 1:
The controller changes the data size parameter to match the unit program size by accumulating multiple user data in the buffer until the total size reaches the optimal programming unit. This parameter adjustment maintains data storage flexibility while significantly improving program operation efficiency through standardized size programming
Data Source
AI summary
When a program operation to a second memory of user data in a first memory is to be performed and the size of user data is smaller than a unit program size of the second memory, final data having a size equal to the unit program size may be produced by concatenating the user data and meta data, and the final data may then programmed into the second memory. The second memory may be non-volatile memory, and the meta data may be meta data for the second memory. In some cases, dummy data may also be concatenated with the user data and meta data to produce the final data. Accordingly, it is possible to perform the program operation according to the unit program size and improve the program operation efficiency by reducing the number of program operations performed to store meta data.


