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PSA: A Performance and Space-Aware Data Layout Scheme for Hybrid Parallel File Systems

机译:PSA:混合并行文件系统的性能和空间感知数据布局方案

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摘要

The underlying storage of hybrid parallel file systems (PFS) is composed of both SSD-based file servers (SServer) and HDD-based file servers (HServer). Unlike a traditional HServer, an SServer consistently provides improved storage performance but lacks storage space. However, most current data layout schemes do not consider the differences in performance and space between heterogeneous servers, and may significantly degrade the performance of the hybrid PFSs. In this paper, we propose PSA, a novel data layout scheme, which maximizes the hybrid PFSs performance by applying adaptive varied-size file stripes. PSA dispatches data on heterogeneous file servers not only based on storage performance but also storage space. We have implemented PSA within OrangeFS, a popular parallel file system in the HPC domain. Our extensive experiments using a representative benchmark show that PSA provides superior I/O throughput than the default and performance-aware file data layout schemes.
机译:混合并行文件系统(PFS)的基础存储由基于SSD的文件服务器(SServer)和基于HDD的文件服务器(HServer)组成。与传统的HServer不同,SServer始终提供改进的存储性能,但缺少存储空间。但是,当前大多数数据布局方案都没有考虑异构服务器之间的性能和空间差异,并且可能会大大降低混合PFS的性能。在本文中,我们提出了一种新颖的数据布局方案PSA,该方案通过应用自适应大小可变的文件条带来最大化混合PFS的性能。 PSA不仅基于存储性能,而且还基于存储空间在异构文件服务器上分派数据。我们已经在OrangeFS(HPC域中流行的并行文件系统)中实现了PSA。我们使用有代表性的基准进行的广泛实验表明,PSA提供了比默认的和性能感知的文件数据布局方案更好的I / O吞吐量。

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