Host Zone Namespace Management for Hot-Cold Data Allocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing memory devices and systems lack efficient methods to manage data storage based on usage frequency, leading to inefficient rewriting and rearrangement of data, which affects overall performance and lifespan.
Innovation Solution
Implementing a host with a buffer and processor to maintain a target zone data structure, utilizing zone namespace (ZNS) to categorize data zones based on memory mode, allowing for dynamic capacity management and mixed-mode NAND operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is stored in a unified memory space without zone categorization, then the memory device structure is simple, but data rewriting and rearrangement become inefficient
Solution Approach 1:
The memory space is segmented into multiple zones with different memory modes (first memory mode and second memory mode) based on usage frequency characteristics. Hot data is stored in zones with first memory mode while cold data is stored in zones with second memory mode, enabling efficient data management without excessive complexity
Solution Approach 2:
A target zone data structure is introduced as an additional management layer that tracks zone information including zone identifiers, conditions, and currently used target zones. This dimensional addition enables efficient data allocation while maintaining manageable complexity
2Reliability
If all zones use the same memory mode, then the memory device is easy to manage, but performance and lifespan are reduced due to inefficient data allocation
Solution Approach 1:
Different zones are assigned different memory modes (first memory mode for hot data, second memory mode for cold data) based on their specific usage characteristics. This localized optimization extends memory device lifespan by allocating appropriate storage characteristics to different data types without requiring complex global management
Solution Approach 2:
The host processor automatically maintains the target zone data structure by receiving zone information from the memory device and identifying target zones based on usage frequency. This self-maintaining mechanism reduces management complexity while improving reliability
3Productivity
If the host continuously monitors and reorganizes all data zones, then data allocation optimality is improved, but system performance deteriorates due to excessive rewriting operations
Solution Approach 1:
The system performs preliminary classification of data into hot and cold categories and assigns them to appropriate zones in advance. The target zone data structure pre-identifies suitable target zones for different data types, reducing the need for continuous monitoring and reorganization operations
Solution Approach 2:
The management of target zone identification and maintenance is extracted from the general memory management function and handled specifically by the host processor. This separation allows the memory device to focus on storage operations while the host handles intelligent allocation, reducing unnecessary rewriting
Data Source
AI summary
Examples of the present disclosure provide hosts and operation methods thereof, systems and computer readable memory mediums. An example host includes: a buffer configured to store a target zone data structure; and a host processor configured to: send a first command, wherein the first command is to obtain information of each zone of a zone namespace (ZNS); and maintain the target zone data structure based on the information of each zone, wherein the target zone data structure includes information of a target zone, and the target zone is a zone where a memory mode is a first memory mode.