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Evaluation of a new visualization and analytics solution for slow control data for large scale experiments
2020
EPJ Web of Conferences
Large experiments in high energy physics require efficient and scalable monitoring solutions to digest data of the detector control system. Plotting multiple graphs in the slow control system and extracting historical data for long time periods are resource intensive tasks. The proposed solution leverages the new virtualization, data analytics and visualization technologies such as InfluxDB time-series database for faster access large scale data, Grafana to visualize time-series data and an
doi:10.1051/epjconf/202024507001
fatcat:o5wnjties5d3hguduxxy5wqp74