This document presents the handbook of BigDataBench (Version 3.1). BigDataBench is an open-source... more This document presents the handbook of BigDataBench (Version 3.1). BigDataBench is an open-source big data benchmark suite, publicly available from http://prof.ict.ac.cn/BigDataBench. After identifying diverse data models and representative big data workloads, BigDataBench proposes several benchmarks specifications to model five important application domains, including search engine, social networks, e-commerce, multimedia data analytics and bioinformatics. BigDataBench (partially) implements the same benchmarks specifications using variety of competitive techniques. The current version BigDataBench 3.1 includes 14 real data sets and the corresponding scalable big data generation tools, and 33 big data workloads. To allow flexible setting and replaying of mixed workloads, BigDataBench provides the multi-tenancy version; To save the benchmarking cost, BigDataBench reduces the full workloads to a subset according to workload characteristics from a specific perspective. It also provides both MARSSx86 and Simics simulator versions for architecture communities.
This document presents the handbook of BigDataBench (Version 3.1). BigDataBench is an open-source... more This document presents the handbook of BigDataBench (Version 3.1). BigDataBench is an open-source big data benchmark suite, publicly available from http://prof.ict.ac.cn/BigDataBench. After identifying diverse data models and representative big data workloads, BigDataBench proposes several benchmarks specifications to model five important application domains, including search engine, social networks, e-commerce, multimedia data analytics and bioinformatics. BigDataBench (partially) implements the same benchmarks specifications using variety of competitive techniques. The current version BigDataBench 3.1 includes 14 real data sets and the corresponding scalable big data generation tools, and 33 big data workloads. To allow flexible setting and replaying of mixed workloads, BigDataBench provides the multi-tenancy version; To save the benchmarking cost, BigDataBench reduces the full workloads to a subset according to workload characteristics from a specific perspective. It also provides both MARSSx86 and Simics simulator versions for architecture communities.
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