Todor Ivanov, Raik Niemann, Sead Izberovic, M. Rosselli, Karsten Tolle, R. Zicari
{"title":"Performance Evaluation of Enterprise Big Data Platforms with HiBench","authors":"Todor Ivanov, Raik Niemann, Sead Izberovic, M. Rosselli, Karsten Tolle, R. Zicari","doi":"10.1109/Trustcom.2015.570","DOIUrl":null,"url":null,"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).","PeriodicalId":277092,"journal":{"name":"2015 IEEE Trustcom/BigDataSE/ISPA","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Trustcom/BigDataSE/ISPA","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Trustcom.2015.570","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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).