419 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN19 papers
- Institute of Computing TechnologyCN16 papers
- University of Chinese Academy of SciencesCN11 papers
- Huawei Technologies (China)CN2 papers
- National Computer Network Emergency Response Technical Team/Coordination Center of ChinarCN2 papers
- Tsinghua UniversityCN2 papers
- Aberystwyth UniversityGB1 paper
- Alibaba Group (China)CN1 paper
- Baidu (China)CN1 paper
- Beijing National Laboratory for Molecular SciencesCN1 paper
- Capital Normal UniversityCN1 paper
- Chalmers University of TechnologySE1 paper
4 papers · 1 filter
Characterizing and Subsetting Big Data Workloads
Zhen Jia, Jianfeng Zhan, Lei Wang +5
Big data benchmark suites must include a diversity of data and workloads to be useful in fairly evaluating big data systems and architectures. However, using truly comprehensive be…
BDGS: A Scalable Big Data Generator Suite in Big Data Benchmarking
Zijian Ming, Chunjie Luo, Wanling Gao +4
Data generation is a key issue in big data benchmarking that aims to generate application-specific data sets to meet the 4V requirements of big data. Specifically, big data generat…
BigDataBench: a Big Data Benchmark Suite from Internet Services
Lei Wang, Jianfeng Zhan, Chunjie Luo +12
As architecture, systems, and data management communities pay greater attention to innovative big data systems and architectures, the pressure of benchmarking and evaluating these…
BigOP: Generating Comprehensive Big Data Workloads as a Benchmarking Framework
Yuqing Zhu, Jianfeng Zhan, Chuliang Weng +4
Big Data is considered proprietary asset of companies, organizations, and even nations. Turning big data into real treasure requires the support of big data systems. A variety of c…