Storage Controller Map Update Cycle for Small-Chunk Writes
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Solution Overview
Problem
Existing data storage devices face inefficiencies in managing map update cycles, leading to decreased write performance due to the time and resource consumption required for updating map data, which is not efficiently managed in existing systems.
Innovation Solution
Implement a controller with a write data buffer, write map cache, and map data manager to dynamically adjust the reference size based on the trend of write requests, optimizing the map update process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If map data is updated frequently to maintain data consistency, then data reliability is improved, but write performance deteriorates due to increased time and resource consumption
Solution Approach 1:
The patent dynamically adjusts the map update reference size based on the ratio of small data chunk write requests. When the ratio exceeds a threshold, the reference size is reduced to trigger more frequent map updates, ensuring data consistency. When the ratio is low, the reference size is increased to reduce update frequency and improve write performance. This dynamic adjustment resolves the contradiction between reliability and productivity.
Solution Approach 2:
The system changes the map update reference size parameter based on write request characteristics. By monitoring the ratio of small data chunk writes and adjusting the reference size accordingly, the system optimizes the balance between maintaining data consistency and preserving write performance under different workload conditions.
2Productivity
If the map update reference size is increased to reduce update frequency, then write performance is improved, but resource consumption increases due to larger buffer requirements
Solution Approach 1:
The reference size is dynamically adjusted based on the ratio of small data chunk write requests. When this ratio is high, the reference size is reduced, which decreases buffer memory requirements while maintaining acceptable write performance. When the ratio is low, the reference size can be increased to improve performance. This dynamic approach resolves the contradiction between productivity and resource consumption.
3Quantity of substance
If the map update reference size is decreased to reduce buffer usage, then resource consumption is reduced, but write performance deteriorates due to more frequent updates
Solution Approach 1:
The system dynamically changes the map update reference size parameter based on the characteristics of incoming write requests. When small data chunk writes dominate (high ratio), the reference size is reduced to lower buffer requirements. When large writes are more common (low ratio), the reference size is increased to improve performance. This adaptive parameter adjustment resolves the contradiction between resource consumption and productivity.
Data Source
AI summary
Provided herein may be a data storage device and a method of operating the same. A data storage device for dynamically managing a map update cycle may include a memory device configured to store data, and a controller configured to adjust a cycle at which map data corresponding to write requests received from a host for a preset reference time is stored in the memory device, depending on a number of small data chunk write requests that are write requests for data having a preset unit size, among the write requests.