Downloads provided by UsageCounts
24 hours of logs generated from OpenStack driven by a custom workload generator that used 80 concurrent processes to repeatedly create, boot, suspend/resume, pause/un-pause, and shutdown each VM at a randomized pace. This dataset was first used in the evaluation of "Non-Intrusive Performance Profiling for Entire Software Stacks Based on the Flow Reconstruction Principle."
{"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."]}
| 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 |
| views | 11 | |
| downloads | 14 |

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Downloads provided by UsageCounts