Hadoop deployment and performance on Gordon data intensive supercomputer

M. Tatineni, J. Greenberg, R. Wagner, Eva Hocks, Christopher Irving
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引用次数: 4

Abstract

The Hadoop framework is extensively used for scalable distributed processing of large datasets. This extended abstract provides information on the optimization of the Hadoop deployment on the Gordon data intensive supercomputer, at the San Diego Supercomputer Center (SDSC) at the University of California San Diego, using the myHadoop software. The details of the system configuration, the storage and network options (1 Gig-E, IPOIB, and UDA), tuning options considered, results using the TestDFSIO, TeraSort benchmarks, and bulk copy tests with distcp are presented in this extended abstract.
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Hadoop在Gordon数据密集型超级计算机上的部署和性能
Hadoop框架被广泛用于大型数据集的可扩展分布式处理。这个扩展摘要提供了关于在加州大学圣地亚哥分校的圣地亚哥超级计算机中心(SDSC)的Gordon数据密集型超级计算机上使用myHadoop软件优化Hadoop部署的信息。详细介绍了系统配置、存储和网络选项(1gb - e、IPOIB和UDA)、考虑的调优选项、使用TestDFSIO、TeraSort基准测试的结果以及带distcp的批量复制测试。
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