2017 IEEE 33rd International Conference on Data Engineering (ICDE) 2017
DOI: 10.1109/icde.2017.167
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BigBench V2: The New and Improved BigBench

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Cited by 20 publications
(21 citation statements)
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“…We experimented two application categories: those which can use an SRL (Java, C/C++) and those without an SRL (Fortran). For Java, we evaluate SpecJBB 2005 [13] (noted JBB2005) single JVM (the performance metric is the number of business operations per second (bops)) and BigBench [23] (the performance metric is the execution time). These applications use HotSpot as the SLR.…”
Section: Methodsmentioning
confidence: 99%
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“…We experimented two application categories: those which can use an SRL (Java, C/C++) and those without an SRL (Fortran). For Java, we evaluate SpecJBB 2005 [13] (noted JBB2005) single JVM (the performance metric is the number of business operations per second (bops)) and BigBench [23] (the performance metric is the execution time). These applications use HotSpot as the SLR.…”
Section: Methodsmentioning
confidence: 99%
“…When the driver VM and user VMs are located on different NUMA nodes (which is commonly the case), user VMs which perform I/O operations will see a portion of their memory remapped on the driver VM's node. To assess this issue, we ran BigBench [23] on our 8-node machine. All the VM resources are initially mapped on a single NUMA node which is distinct from the one used by the driver VM.…”
Section: Limitationsmentioning
confidence: 99%
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“…BigBench [15] is the first benchmark that added semi-structured and unstructured data to TPC-DS [44] and was extended to work on Hadoop and Hive by implementing queries using HiveQL [8]. Another improvement to this benchmark, that added additional queries, is BigBench V2 [14]. Although, the BigBench benchmark, and its extensions, are developed to work with multidimensional models and semistructured and unstructured date, their models do not take into account textual data and complex aggregation queries, e.g.…”
Section: Related Workmentioning
confidence: 99%
“…This work is a continuation of a series of benchmark experiments conducted at the Frankfurt Big Data Lab.…”
Section: Introductionmentioning
confidence: 99%