Titlebook: Big Data Benchmarks, Performance Optimization, and Emerging Hardware; 6th Workshop, BPOE 2 Jianfeng Zhan,Rui Han,Roberto V. Zicari Conferen

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Arithmetic Flags and Instructions graphs depict similar structures, their tiny differences may result in?totally different storage and indexing strategies, that should not be omitted. Finally, we put forward the requirements to seeding datasets and synthetic data generators for benchmarking knowledge graph management based on the s

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Arithmetic Flags and Instructionsop 2.5 and 2.6, Hortonworks HDP, and Cloudera CDH. Performance evaluations show that our plugin ensures the expected performance of up?to 3.7x improvement in TestDFSIO write, associated with the hybrid RDMA-enhanced design, to all these distributions. We also demonstrate that our RDMA-based plugin c

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BigDataBench-MT: A Benchmark Tool for Generating Realistic Mixed Data Center Workloadsoad traces, and a multi-tenant generator that flexibly scales the workloads up and down according to users’ requirements. Based on this, our demo illustrates the workload customization and generation process using a visual interface. The proposed tool, called BigDataBench-MT, is a multi-tenant versi

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A Plugin-Based Approach to Exploit RDMA Benefits for Apache and Enterprise HDFSop 2.5 and 2.6, Hortonworks HDP, and Cloudera CDH. Performance evaluations show that our plugin ensures the expected performance of up?to 3.7x improvement in TestDFSIO write, associated with the hybrid RDMA-enhanced design, to all these distributions. We also demonstrate that our RDMA-based plugin c