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The Gfarm File System on Compute Clouds

机译:计算云上的GFARM文件系统

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Due to its ability to provide requested resources on demand, the use of cloud computing for data-intensive computing is expected to skyrocket in the coming years. The present IaaS cloud infrastructure is designed such that the compute cloud and the storage cloud are separate components. However, the design has one major problem, namely a tradeoff has to be made between the network cost and storage performance. To cope with these problems, we are proposing high performance file system service in compute cloud that transparently utilizes file access locality on dynamic configuration of cloud computing infrastructure. We evaluated the system using micro benchmarks, MapReduce applications, and MPI-IO applications. Our system shows the scalable file I/O performance.
机译:由于其在需求提供所要求的资源,预计将在未来几年中使用云计算数据密集型计算。目前的IAAS云基础架构设计成使得计算云和存储云是单独的组件。然而,设计具有一个主要问题,即网络成本和存储性能之间必须进行权衡。为了应对这些问题,我们在计算云中提出了高性能文件系统服务,透明地利用了云计算基础架构的动态配置上的文件访问征询。我们使用Micro基准测试,MapReduce应用程序和MPI-IO应用程序评估了该系统。我们的系统显示了可扩展的文件I / O性能。

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