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BenchCouncil: International Open Benchmarking Council



The current version BigDataBench 4.0 provides 13 representative real-world data sets and 47 benchmarks. Other than creating a new benchmark or proxy for every possible workload, we propose using data motif-based benchmarks—the combination of eight data motifs—to represent diversity of big data and AI workloads. Our benchmark suite includes micro benchmarks, each of which is a single data motif, components benchmarks, which consist of the data motif combinations, and end-to-end application benchmarks, which are the combinations of component benchmarks.