@inproceedings{82f1e016506d49e1b3e30a338be752ab,
title = "BigDataBench-MT: A benchmark tool for generating realistic mixed data center workloads",
abstract = "Long-running service workloads (e.g. web search engine) and short-term data analysis workloads (e.g. Hadoop MapReduce jobs) colocate in today{\textquoteright}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{\textquoteright} 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 multitenant version of our comprehensive benchmark suite BigDataBench and it is publicly available from http://prof.ict.ac.cn/BigDataBench/ multi-tenancyversion/.",
keywords = "Benchmark, Data center, Mixed workloads, Workload trace",
author = "Rui Han and Shulin Zhan and Chenrong Shao and Junwei Wang and John, {Lizy K.} and Jiangtao Xu and Gang Lu and Lei Wang",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 6th Workshop on Big Data Benchmarks, Performance Optimization, and Emerging Hardware, BPOE 2015 ; Conference date: 31-08-2015 Through 04-09-2015",
year = "2016",
doi = "10.1007/978-3-319-29006-5_2",
language = "English",
isbn = "9783319290058",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "10--21",
editor = "Zicari, {Roberto V.} and Jianfeng Zhan and Rui Han",
booktitle = "Big Data Benchmarks, Performance Optimization, and Emerging Hardware - 6th Workshop, BPOE 2015, Revised Selected Papers",
address = "Germany",
}
