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{"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\u2013618.", "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\u201351. IEEE Computer Society, 2010."]}
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."
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 26 |

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