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February 5, 2026

Data Challenges in JUNO distributed computing infrastructure towards JUNO data-taking

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Authors

XZXiaomei Zhang

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Overview

Data challenges improve performance in JUNO's computing system, ensuring efficient data processing for neutrino studies.

Key Points

  • The study aims to address challenges in managing extensive data produced by JUNO as it prepares for data-taking.
  • Conducting data challenges on distributed computing resources
  • Estimating resource requirements and identifying bottlenecks
  • Improving performance of data processing activities
  • Implementing monitoring systems for data handling
  • Anticipated data production of 2PB per year from JUNO
  • Event rate of approximately 1 kHz leading to significant data volumes
  • Identified potential performance bottlenecks and strategies for resolution

Cite This Study

Xiaomei Zhang (2025) studied this question.

synapsesocial.com/papers/698433e9f1d9ada3c1fb17a1https://doi.org/10.1051/epjconf/202533701055/pdf
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Data Challenges in JUNO distributed computing infrastructure towards JUNO data-taking2025
  2. 2Offline data processing in the First JUNO Data Challenge2024
  3. 3Monitoring System for JUNO Distributed Computing Infrastructure and Services2026
  4. 4Oscillation physics with reactor neutrinos in JUNO2025
  5. 5Oscillation physics with reactor neutrinos in JUNO2025