DHFS: A High-Throughput Heterogeneous File System Based on Mainframe for Cloud Storage

Hongtao Du, Zhanhuai Li
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Abstract

The file system for the Cloud Storage usually use the distributed structure which store the metadata and the user data respectively. The I/O nodes get the management information of file from the specific metadata server through the networks. Under this mode, the metadata server should be the performance bottleneck of the whole system when huge number nodes or the heavy workloads in Cloud Storage. Therefore, the capability of the metadata server become one of the key aspect for the whole system. In this paper, we present DHFS(Distribute Heterogeneous File System), a high throughput system for Cloud Storage, building metadata server on the high performance mainframe. For the different organization of the file system between mainframe and open system(Unix, Solaris, Windows, Linux, etc.), we implement the user-level library for the heterogeneous share of data which allow application in open system accessing files of mainframe. We also employ a series of strategies for the performance optimization.
DHFS:基于大型机的云存储高吞吐量异构文件系统
云存储的文件系统通常采用分布式结构,分别存储元数据和用户数据。I/O节点通过网络从指定的元数据服务器获取文件的管理信息。在这种模式下,当云存储中节点数量庞大或工作负载较大时,元数据服务器应该成为整个系统的性能瓶颈。因此,元数据服务器的性能成为整个系统的关键方面之一。本文提出了一种基于分布式异构文件系统(DHFS)的高吞吐量云存储系统,在高性能主机上构建元数据服务器。针对大型机与开放系统(Unix、Solaris、Windows、Linux等)文件系统组织方式的不同,我们实现了面向异构数据共享的用户级库,使开放系统中的应用程序能够访问大型机文件。我们还采用了一系列的性能优化策略。
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