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Performance Optimization under Small Files Intensive Workloads in BWFS

机译:BWFS中小文件密集型工作负载下的性能优化

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We have designed and implemented the blue whale file system (BWFS), a scalable distributed file system for large distributed data-intensive applications. With many of the features as previous distributed file systems, BWFS has successfully met our storage needs and is widely deployed within many fields. Although excellent for high-bandwidth access to large files, BWFS's out-of-band data transfer mode provides low efficiency under small files intensive workloads. In order to improve the overall performance of the file system, we propose a novel data transfer scheme. In such novel scheme, BWFS transfers data with the hybrid data transfer policy that small files are transferred with in-band mode while large files are transferred with out-of-band mode. The prototype design and implementation is described and the various experiments are presented to demonstrate that the significant performance benefits of our prototype implementation under the small files intensive workloads. For small files intensive applications, BWFS can achieve significantly higher throughput which increases by 60%.
机译:我们已经设计并实现了蓝鲸文件系统(BWFS),这是一种可扩展的分布式文件系统,用于大型分布式数据密集型应用程序。 BWFS具有以前的分布式文件系统的许多功能,已成功满足了我们的存储需求,并已广泛部署在许多领域。尽管BWFS的带外数据传输模式非常适合高带宽访问大文件,但在小文件密集型工作负载下效率较低。为了提高文件系统的整体性能,我们提出了一种新颖的数据传输方案。在这种新颖的方案中,BWFS使用混合数据传输策略传输数据,即小文件以带内模式传输,而大文件以带外模式传输。描述了原型设计和实现,并进行了各种实验,以证明我们的原型实现在小文件密集型工作负载下的显着性能优势。对于小型文件密集型应用程序,BWFS可以实现更高的吞吐量,增加60%。

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