output
20122020
most citedBigDataBench: a Big Data Benchmark Suite from Internet Services

419 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.PFShow all

5 papers · 1 filter

cs.PF2020★ 3 cited

AIBench Scenario: Scenario-distilling AI Benchmarking

Wanling Gao, Fei Tang, Jianfeng Zhan +7

Modern real-world application scenarios like Internet services consist of a diversity of AI and non-AI modules with huge code sizes and long and complicated execution paths, which…

cs.PF2019★ 6 cited

Edge AIBench: Towards Comprehensive End-to-end Edge Computing Benchmarking

Tianshu Hao, Yunyou Huang, Xu Wen +8

In edge computing scenarios, the distribution of data and collaboration of workloads on different layers are serious concerns for performance, privacy, and security issues. So for…

cs.PF2014★ 56 cited

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…

cs.PF2013★ 13 cited

Characterizing Data Analysis Workloads in Data Centers

Zhen Jia, Lei Wang, Jianfeng Zhan +2

As the amount of data explodes rapidly, more and more corporations are using data centers to make effective decisions and gain a competitive edge. Data analysis applications play a…

cs.PF2013

The Implications of Diverse Applications and Scalable Data Sets in Benchmarking Big Data Systems

Zhen Jia, Runlin Zhou, Chunge Zhu +5

Now we live in an era of big data, and big data applications are becoming more and more pervasive. How to benchmark data center computer systems running big data applications (in s…