Zoned SSD Compression for Lower Write Amplification
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Solution Overview
Problem
Solid state drives (SSDs) lack efficient data compression and storage methods, leading to increased write amplification factor and reduced compression efficiency due to random storage of hot and cold data without classification.
Innovation Solution
A storage system that sets multiple zones in a non-volatile memory based on data attributes, compressing and storing data according to zone-specific compression methods to differentiate between hot and cold data, thereby reducing garbage collection and optimizing storage efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If data is stored randomly without classification, then storage simplicity is maintained, but compression efficiency decreases and write amplification factor increases
Solution Approach 1:
The storage medium is divided into multiple zones (first zone, second zone, etc.) based on data access patterns. Hot data is stored in the first zone while cold data is stored in the second zone, enabling differentiated compression strategies for each zone to improve overall compression efficiency without compromising storage simplicity
Solution Approach 2:
Different compression ratios are applied to different zones based on their specific characteristics. The first zone (hot data) uses a first compression ratio while the second zone (cold data) uses a second compression ratio, allowing each region to have optimized quality characteristics for its specific data type
2Device complexity
If data is stored randomly without classification, then storage structure simplicity is maintained, but write amplification factor increases due to frequent garbage collection
Solution Approach 1:
The storage medium is segmented into multiple zones with different data characteristics. By classifying and storing hot and cold data in separate zones, the system reduces unnecessary write operations and garbage collection frequency, thereby reducing write amplification factor while maintaining a relatively simple zoned storage structure
Solution Approach 2:
Data is pre-classified into hot and cold categories before storage, and placed in appropriate zones in advance. This preliminary classification prevents future unnecessary write operations and garbage collection, reducing write amplification factor before the problem can occur
3Ease of manufacture
If uniform compression is applied to all data, then compression process simplicity is maintained, but storage efficiency decreases for differentiated data types
Solution Approach 1:
Different compression ratios are applied to different zones based on their specific characteristics. The first zone (hot data) uses a first compression ratio while the second zone (cold data) uses a second compression ratio, allowing each region to have optimized quality characteristics for its specific data type
Solution Approach 2:
The storage medium is divided into multiple zones of data. By segmenting the storage space and applying zone-specific compression strategies, the system achieves improved storage efficiency while maintaining manageable complexity through automated zone management
Data Source
AI summary
A storage device may include a non-volatile memory including a plurality of zones, the non-volatile memory configured to sequentially store data in at least one of the plurality of zones, and a processing circuitry configured to, receive a first write command and first data from a host, the first write command including a first logical address, identify a first zone of the plurality of zones based on the first logical address, compress the first data based on compression settings corresponding to the first zone, and write the compressed first data to the first zone.