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

419 citations

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5 papers · 1 filter

cs.DC2018

On the Performance and Convergence of Distributed Stream Processing via Approximate Fault Tolerance

Zhinan Cheng, Qun Huang, Patrick P. C. Lee

Fault tolerance is critical for distributed stream processing systems, yet achieving error-free fault tolerance often incurs substantial performance overhead. We present AF-Stream,…

cs.DC2018★ 1 cited

Data Motif-based Proxy Benchmarks for Big Data and AI Workloads

Wanling Gao, Jianfeng Zhan, Lei Wang +8

For the architecture community, reasonable simulation time is a strong requirement in addition to performance data accuracy. However, emerging big data and AI workloads are too hug…

cs.DC2014★ 5 cited

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…

cs.DC2013★ 11 cited

AxPUE: Application Level Metrics for Power Usage Effectiveness in Data Centers

Runlin Zhou, Yingjie Shi, Chunge Zhu +1

The rapid growth of data volume brings big challenges to the data center computing, and energy efficiency is one of the most concerned problems. Researchers from various fields are…

cs.DC2012★ 33 cited

High Volume Computing: Identifying and Characterizing Throughput Oriented Workloads in Data Centers

Jianfeng Zhan, Lixin Zhang, Ninghui Sun +3

For the first time, this paper systematically identifies three categories of throughput oriented workloads in data centers: services, data processing applications, and interactive…