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This dataset contains the measurement scripts and the results of their execution for the paper “Keeping up to Date with P4Runtime: An Analysis of Data Plane Updates on P4 Switches”. For post-processing, the script post-processing.py was used. Its execution results in CSV suitable for inclusion in tikz figures as included in the paper. In the paper, the following experiment runs are considered: experiment runs figures 2022-08-19_11-59-49_801994 01, 05, 09 5 2022-08-19_21-19-07_490218 01, 05, 09 6 2022-08-20_10-28-26_900864 1 4, 5 2023-01-28_16-54-28_462097 0 4 2023-01-28_17-51-17_645739 1 4 2023-01-28_19-15-05_255922 0 4 2023-01-28_20-10-43_259639 1 4 2023-01-29_17-50-08_687660 1 4 Note: Only a subset of capture CSV not discussed in the paper are included, to reduce the dataset size limit.
| 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). | 1 | |
| 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 | 24 | |
| downloads | 3 |

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Downloads provided by UsageCounts