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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Big Data Benchmark - Big DS
verfasst von : Jun-Ming Zhao, Wen-Shuan Wang, Xian Liu, You-Fu Chen
Erschienen in: Advancing Big Data Benchmarks
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Abstract
Performance and scalability in clusters of heterogeneous and complex Big Data Analytic environments are always unpredictable. In this paper, we are trying to address this problem by using a benchmark named “Big DS”. The benchmark adopts many great ideas from some famous industry benchmarks like TPC-H [1], TPC-DS [1], SPECvirt_sc2010 [2] and SPECjbb2005 [2], we also adopt some ideas from non-standard benchmarks liked TeraSort [3], SWIM [4], etc. By defining a configurable workload for different big data analytics environment, Big DS can be used for measuring the performance and scalability of a big data analytics platform or environment for different business.