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File placement mechanisms for improving write throughputs of cloud storage services based on Ceph and HDFS

机译:基于Ceph和HDFS改进云存储服务写入吞吐量的文件放置机制

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Cloud storage services are pervasive nowadays. Many cloud storage services use distributed file systems as their backend storage systems. Some research results on file-size distribution of file systems show that file systems contain lots of small files. Therefore, this paper proposed a hybrid distributed file system based on Ceph and HDFS that can deliver satisfactory write throughputs for a cloud storage system with 80-90% small files and 10-20% large files. The experimental results show that the file allocation mechanism without RAM disk caching can improve the write throughputs of Ceph and HDFS by approximately 10% to 50%. While the one with RAM disk caching can have up to 200% write throughputs improvement.
机译:云存储服务现在是普遍存在的。许多云存储服务使用分布式文件系统作为其后端存储系统。文件系统文件大小分发的一些研究结果显示文件系统包含大量的小文件。因此,本文提出了一种基于Ceph和HDF的混合分布式文件系统,可以为云存储系统提供满意的写入吞吐量,其中云存储系统具有80-90 %的小文件和10-20 %大文件。实验结果表明,没有RAM磁盘缓存的文件分配机制可以将CEPH和HDFS的写入吞吐量提高大约10 %至50 %。虽然带RAM磁盘缓存的虽然可以具有高达200 %的编写吞吐量改进。

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