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Benchmarking Virtualized Hadoop Clusters

机译:对虚拟Hadoop集群进行基准测试

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摘要

This work investigates the performance of Big Data applications in virtualized Hadoop environments, hosted on a single physical node. An evaluation and performance comparison of applications running on a virtualized Hadoop cluster with separated data and computation layers against standard Hadoop installation is presented. Our experiments show how different Data-Compute Hadoop cluster configurations, utilizing the same virtualized resources, can influence the performance of CPU bound and I/O bound workloads. Based on our observations, we identify three important factors that should be considered when configuring and provisioning virtualized Hadoop clusters.
机译:这项工作调查了托管在单个物理节点上的虚拟Hadoop环境中大数据应用程序的性能。提出了在具有独立数据和计算层的虚拟化Hadoop集群上运行的应用程序与标准Hadoop安装之间的评估和性能比较。我们的实验表明,利用相同的虚拟化资源的不同数据计算Hadoop群集配置如何影响CPU约束和I / O约束的工作负载的性能。根据我们的观察,我们确定了在配置和配置虚拟化Hadoop集群时应考虑的三个重要因素。

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