Abstract
The Jiangmen Underground Neutrino Observatory (JUNO) is a next-generation experiment designed to study the neutrino mass hierarchy, one of the open questions in particle physics. The entire experimental system includes the detector system, the electronics system, and the data acquisition (DAQ) system. Dataflow is the core of JUNO DAQ system. Readout system and event building (EB) system are two key aspects of dataflow. Based on the requirements analysis of JUNO DAQ, this paper proposes a data-flow schema of distributed network readout and second-level EB. Focusing on the performance requirements of JUNO DAQ, the performance of the readout and EB module, the number of readout processes and EB processes deployed on each node, the ratio of readout nodes and EB nodes, and scalability of the two modules are discussed in detail. The results of the research provide a reference for further optimization of the JUNO DAQ data-flow framework.
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