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October 8, 2025EPJ Web of ConferencesOpen Access

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 distributed computing resources for Juno's data processing, ensuring efficient data handling and robustness in neutrino measurements.

Key Points

  • Data challenges are essential to prepare for Juno's upcoming data-taking operations in 2025.
  • Juno expects around 60 MB of raw data per second, totaling approximately 2PB annually.
  • Identifying bottlenecks and resource needs is critical for successful data processing and analysis.
  • Monitoring systems will be verified to ensure the efficacy of the entire data pipeline from collection to analysis.

Cite This Study

Xiaomei Zhang (2025) studied this question.

synapsesocial.com/papers/68e6860af44b9035634c2326https://doi.org/10.1051/epjconf/202533701055
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