Exploiting Flat Namespace to Improve File System Metadata Performance on Ultra-fast, Byte-addressable NVMs

IF 2.1 3区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE ACM Transactions on Storage Pub Date : 2023-09-06 DOI:10.1145/3620673
Miao Cai, Junru Shen, Bin Tang, Hao Huang, Baoliu Ye
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Abstract

The conventional file system provides a hierarchical namespace by structuring it as a directory tree. Tree-based namespace structure leads to inefficient file path walk and expensive namespace tree traversal, underutilizing ultra-low access latency and superior sequential performance provided by non-volatile memories (NVMs). This paper proposes FlatFS+, an NVM file system that features a flat namespace architecture while providing a compatible hierarchical namespace view. FlatFS+ incorporates three novel techniques: direct file path walk model, range-optimized Br tree, and compressed index key design with scan and write dual optimization, to fully exploit flat namespace to improve file system metadata performance on ultra-fast, byte-addressable NVMs. Evaluation results demonstrate that FlatFS+ achieves significant performance improvements for metadata-intensive benchmarks and real-world applications compared to other file systems.
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利用平面命名空间在超快、字节可寻址的nvm上提高文件系统元数据性能
传统的文件系统通过将其构造为目录树来提供分层命名空间。基于树的命名空间结构导致低效的文件路径遍历和昂贵的命名空间树遍历,未充分利用非易失性存储器(NVM)提供的超低访问延迟和卓越的顺序性能。本文提出了FlatFS+,这是一种NVM文件系统,它具有扁平的命名空间架构,同时提供了兼容的分层命名空间视图。FlatFS+结合了三种新技术:直接文件路径遍历模型、范围优化的Br树和具有扫描和写入双重优化的压缩索引密钥设计,以充分利用扁平命名空间来提高文件系统元数据在超快速字节可寻址NVM上的性能。评估结果表明,与其他文件系统相比,FlatFS+在元数据密集型基准测试和实际应用程序方面实现了显著的性能改进。
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来源期刊
ACM Transactions on Storage
ACM Transactions on Storage COMPUTER SCIENCE, HARDWARE & ARCHITECTURE-COMPUTER SCIENCE, SOFTWARE ENGINEERING
CiteScore
4.20
自引率
5.90%
发文量
33
审稿时长
>12 weeks
期刊介绍: The ACM Transactions on Storage (TOS) is a new journal with an intent to publish original archival papers in the area of storage and closely related disciplines. Articles that appear in TOS will tend either to present new techniques and concepts or to report novel experiences and experiments with practical systems. Storage is a broad and multidisciplinary area that comprises of network protocols, resource management, data backup, replication, recovery, devices, security, and theory of data coding, densities, and low-power. Potential synergies among these fields are expected to open up new research directions.
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