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

@article{Zhan2012HighVT,
  title={High Volume Throughput Computing: Identifying and Characterizing Throughput Oriented Workloads in Data Centers},
  author={Jianfeng Zhan and Lixin Zhang and Ninghui Sun and Lei Wang and Zhen Jia and Chunjie Luo},
  journal={2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum},
  year={2012},
  pages={1712-1721}
}
For the first time, this paper systematically identifies three categories of throughput oriented workloads in data centers: services, data processing applications, and interactive real-time applications, whose targets are to increase the volume of throughput in terms of processed requests or data, or supported maximum number of simultaneous subscribers, respectively, and we coins a new term high volume throughput computing (in short HVC) to describe those workloads and data center systems… CONTINUE READING
Highly Cited
This paper has 24 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 16 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 37 references

The Case for Evaluating MapReduce Performance Using Workload Suites

  • Y. Chen
  • In Proc. MASCOTS,
  • 2011
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…