Performance Evaluation of Enterprise Big Data Platforms with HiBench

Todor Ivanov, Raik Niemann, Sead Izberovic, M. Rosselli, Karsten Tolle, R. Zicari
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引用次数: 9

Abstract

In this paper, we evaluate the performance of DataStax Enterprise (DSE) using the HiBench benchmark suite and compare it with the corresponding Cloudera's Distribution of Hadoop (CDH) results. Both systems, DSE and CDH were stress tested using CPU-bound (WordCount), I/O-bound (Enhanced DFSIO) and mixed (HiveBench) workloads. The experimental results showed that DSE is better than CDH in writing files, whereas CDH is better than DSE in reading files. Additionally, for DSE the read and write throughput difference is very minor, whereas for CDH the read throughput is much higher than the write throughput. The results we obtained show that the HiBench benchmark suite, developed specifically for Hadoop, can be successfully executed on top of the DataStax Enterprise (DSE).
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基于HiBench的企业大数据平台性能评估
在本文中,我们使用HiBench基准套件评估了DataStax Enterprise (DSE)的性能,并将其与相应的Cloudera's Distribution of Hadoop (CDH)结果进行了比较。两个系统,DSE和CDH都使用cpu绑定(WordCount), I/ o绑定(Enhanced DFSIO)和混合(HiveBench)工作负载进行了压力测试。实验结果表明,DSE在文件写入方面优于CDH,而CDH在文件读取方面优于DSE。此外,对于DSE,读吞吐量和写吞吐量的差异非常小,而对于CDH,读吞吐量远高于写吞吐量。我们获得的结果表明,专门为Hadoop开发的HiBench基准测试套件可以在DataStax Enterprise (DSE)之上成功执行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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