基于fuse分布式存储的本地文件访问优化

Shun Ishiguro, J. Murakami, Y. Oyama, O. Tatebe
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引用次数: 20

摘要

现代分布式文件系统可以存储大量信息,同时保持高可靠性和高性能的优点。这些系统中的许多都是使用FUSE(一种用于实现用户级文件系统的流行框架)进行原型设计的。不幸的是,当这些系统安装在使用FUSE的客户机上时,它们会受到额外内存副本和本地文件访问期间上下文切换所造成的I/O开销的影响。FUSE对文件系统施加的开销并不小,并且在本地文件访问期间变得更加明显。这种开销可能会显著降低使用大量使用本地存储的分布式文件系统运行的数据密集型应用程序的性能。在本文中,我们提出了一种在基于fuse的分布式文件系统中实现快速本地文件访问的机制,通过减少内存副本和上下文切换的数量。然后,我们将该机制合并到FUSE框架中,并通过使用Gfarm分布式文件系统的实验来证明其有效性。
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Optimizing Local File Accesses for FUSE-Based Distributed Storage
Modern distributed file systems can store huge amounts of information while retaining the benefits of high reliability and performance. Many of these systems are prototyped with FUSE, a popular framework for implementing user-level file systems. Unfortunately, when these systems are mounted on a client that uses FUSE, they suffer from I/O overhead caused by extra memory copies and context switches during local file access. Overhead imposed by FUSE on file systems is not small and becomes more pronounced during local file access. This overhead may significantly degrade the performance of data-intensive applications running with distributed file systems that aggressively use local storage. In this paper, we propose a mechanism that achieves rapid local file access in FUSE-based distributed file systems by reducing the number of memory copies and context switches. We then incorporate the mechanism into the FUSE framework and demonstrate its effectiveness through experiments, using the Gfarm distributed file system.
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