BigDataBench-S: An open-source scientific big data benchmark suite

doi:10.1109/IPDPSW.2017.111

	BigDataBench-S: An open-source scientific big data benchmark suite
	Cheng, Yaodong6 ; Zhang, Zhifei 5; Cheng YD(程耀东); Zhan, Jianfeng 2; Wang, Peijian 3; Jia, Zhen 4; Tian, Xinhui 2; Dai, Shaopeng 2; Du, Zhihui 7; Gao, Wanling 2
刊名	Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017
	2017
页码	1068-1077
关键词	Big Data Benchmark HPC or Scientific computing Management and Analytics Evaluation
ISSN号	2164-7062
DOI	10.1109/IPDPSW.2017.111
文献子类	Proceedings Paper
英文摘要	Data generated from modern scientific instrumentation have grown up to an unprecedented scale. Moreover, data formats and computational behaviors of scientific big data workloads are much more complex than those in Internet services. These two facts pose a serious challenge to scientific data management and analytics. Among many concerns, the first one is how to build a comprehensive and representative scientific big data benchmark suite. Previous benchmark efforts either focus on Internet areas (i.e. BigDataBench) or pay attention to a specific area (i. e. GeneBase). This paper presents our preliminary work on building a comprehensive scientific big data benchmark suite---BigDataBench-S. Also, we use BigDataBench-S to evaluate several general-purpose big data management systems specifically designed for Internet services applications. Our evaluation shows: these systems cannot achieve expected performance for many scientific workloads, especially for complex matrix computation, for the lack of appropriate mechanisms and policies on data storage, query optimization and of distributed matrix computation.
会议地点	Orlando, FL
WOS关键词	FRAMEWORK
会议日期	MAY 29-JUN 02, 2017
WOS研究方向	Computer Science
语种	英语
ISBN号	978-0-7695-6149-3
WOS记录号	WOS:000417418900116
内容类型	期刊论文
源URL	[http://ir.ihep.ac.cn/handle/311005/285421]
专题	中国科学院高能物理研究所
作者单位	1.Univ Chinese Acad Sci, Beijing, Peoples R China 2.Xi An Jiao Tong Univ, Xian, Shaanxi, Peoples R China 3.Princeton Univ, Princeton, NJ USA 4.Capital Med Univ, Beijing, Peoples R China 5.Chinese Acad Sci, Inst High Energy Phys, Beijing, Peoples R China 6.Tsinghua Univ, Beijing, Peoples R China 7.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Cheng, Yaodong,Zhang, Zhifei,Cheng YD,et al. BigDataBench-S: An open-source scientific big data benchmark suite[J]. Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017,2017:1068-1077.
APA	Cheng, Yaodong.,Zhang, Zhifei.,程耀东.,Zhan, Jianfeng.,Wang, Peijian.,...&Ren, Rui.(2017).BigDataBench-S: An open-source scientific big data benchmark suite.Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017,1068-1077.
MLA	Cheng, Yaodong,et al."BigDataBench-S: An open-source scientific big data benchmark suite".Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017 (2017):1068-1077.