对于密钥-值存储器的压缩意识的闪存存储器重新映射
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Updated: Sep 18, 2025

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Gradient Echo Quantum Memory in Warm Atomic Vapor
Published on: November 11, 2013
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Jialin Wang1, Zhen Yang2, Yi Fan2
1College of Electrical Engineering, Naval University of Engineering, Wuhan 430033, China.
Micromachines
|June 27, 2025
概括
RemapCom通过在压缩过程中识别和重新映射不变的数据块 (UDB) 来优化日志结构合并树 (LSM树). 这减少了写入放大,并提高了键值存储中的写入吞吐量.
科学领域:
- 计算机科学 计算机科学
- 数据存储系统数据存储系统
- 数据库管理数据库管理
背景情况:
- 日志结构合并树 (LSM树) 对于在关键价值存储中高效编写至关重要,在LevelDB和RocksDB等系统中广泛使用.
- 虽然LSM树的压缩是必要的,但它会导致显著的写入放大,降低性能和SSD耐久性.
- 不变数据块 (UDB) 在压缩过程中经常被重写,导致不必要的I / O和性能瓶.
研究的目的:
- 介绍RemapCom,一个新的KV存储设计SSD,解决写放大在LSM树紧缩.
- 利用不变数据块 (UDB) 的重新映射来提高I/O性能和SSD耐用性.
- 为了减少传统的LSM树压缩过程中固有的性能降低和写放大.
主要方法:
- RemapCom使用集成到LSM-tree紧缩合并过程中的轻量级状态机来识别UDB.
- 使用UDB保留方法来最大限度地利用重新映射的好处,并进一步减少写入放大.
- 在LevelDB上实现了RemapCom的原型,其中包含了两种用于数据重新映射的原始.
主要成果:
- 与最先进的方法相比,RemapCom有效地减少了高达53%的写入放大.
- 拟议的方法可以在基于LSM树的KV商店中提高高达30%的写入吞吐量.
- 识别和重新映射UDB显著提高I / O性能和SSD耐久性.
结论:
- RemapCom提供了一个实用的解决方案,通过智能处理不变的数据块来减轻LSM树压缩中的写放大.
- 拟议的重建策略提供了实质性的性能增长,使其成为现代关键价值存储的有价值优化.
- RemapCom展示了利用LSM树中的数据块稳定性的潜力,以提高存储系统的效率.
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