Downloads provided by UsageCounts
The work contains ten datasets containing monitoring data (logs, Jaeger Traces and Prometheus KPI data). The datasets contain monitoring data from train-ticket, a benchmark system for microservices. The dataset includes a short description with explanations of identified anomalies. The structure of the folder is as follows: <changed-microservice>_<third-party-library>_<version>_<date-when-data-was-collected> Each folder stores the respective data: Logs: original log file: LOGS_<change-microservice>_<third-party-library>_<Version>.txt parsed log files required for Loglizer (anomaly detection technique): LOGS_<change-microservice>_<third-party-library>_<Version>.txt_structured.csv LOGS_<change-microservice>_<third-party-library>_<Version>.txt_templates.csv KPI Data: Monitoring_<change-microservice>_<third-party-library>_<Version> Traces: Traces_<change-microservice>_<third-party-library>_<Version>
| 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). | 2 | |
| 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 | 88 | |
| downloads | 17 |

Views provided by UsageCounts
Downloads provided by UsageCounts