56 citations · 157 across the 6 of their papers we have counts for
6 papers
Benchmarking Big Data Systems: State-of-the-Art and Future Directions
Rui Han, Zhen Jia, Wanling Gao +2
The great prosperity of big data systems such as Hadoop in recent years makes the benchmarking of these systems become crucial for both research and industry communities. The compl…
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…
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…
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…
BigDataBench: a Big Data Benchmark Suite from Web Search Engines
Wanling Gao, Yuqing Zhu, Zhen Jia +10
This paper presents our joint research efforts on big data benchmarking with several industrial partners. Considering the complexity, diversity, workload churns, and rapid evolutio…
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…