Published September 20, 2022 | Version v1
Dataset Open

hive-24hr

Creators

  • 1. University of Toronto

Description

24 hours of logs generated from a Hive stack consisting of Hive, YARN, MapReduce, and HDFS driven by HiBench workloads that repeatedly create, query, and delete tables. This dataset was first used in the evaluation of "Non-Intrusive Performance Profiling for Entire Software Stacks Based on the Flow Reconstruction Principle."

Files

Files (128.5 MB)

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md5:74cba61062fc9366f8c748a191f96b36
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Additional details

References

  • Xu Zhao, Kirk Rodrigues, Yu Luo, Ding Yuan, Michael Stumm (OSDI'16). Non-intrusive Performance Profiling for Entire Software Stacks based on the Flow Reconstruction Principle. In Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation, pp. 603–618.
  • S. Huang, J. Huang, J. Dai, T. Xie, and B. Huang. The HiBench benchmark suite: Characterization of the MapReduce-based data analysis. In 26th International Conference on Data Engineering Workshops, ICDEW '10, pages 41–51. IEEE Computer Society, 2010.