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• W2266757592 abstract "Long-running service workloads (e.g. web search engine) and short-term data analysis workloads (e.g. Hadoop MapReduce jobs) co-locate in today’s data centers. Developing realistic benchmarks to reflect such practical scenario of mixed workload is a key problem to produce trustworthy results when evaluating and comparing data center systems. This requires using actual workloads as well as guaranteeing their submissions to follow patterns hidden in real-world traces. However, existing benchmarks either generate actual workloads based on probability models, or replay real-world workload traces using basic I/O operations. To fill this gap, we propose a benchmark tool that is a first step towards generating a mix of actual service and data analysis workloads on the basis of real workload traces. Our tool includes a combiner that enables the replaying of actual workloads according to the workload 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 version of our comprehensive benchmark suite BigDataBench and it is publicly available from http://prof.ict.ac.cn/BigDataBench/multi-tenancyversion/." @default.
• W2266757592 created "2016-06-24" @default.
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• W2266757592 date "2016-01-01" @default.
• W2266757592 modified "2023-09-26" @default.
• W2266757592 title "BigDataBench-MT: A Benchmark Tool for Generating Realistic Mixed Data Center Workloads" @default.
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• W2266757592 doi "https://doi.org/10.1007/978-3-319-29006-5_2" @default.
• W2266757592 hasPublicationYear "2016" @default.
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