Physics Data Forge: Unveiling the Power of I/O Systems in CERNs Test Infrastructure

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書誌詳細
出版年:EPJ Web of Conferences vol. 337 (2025)
第一著者: Amadio, Guilherme
その他の著者: Mascetti, Luca, Peters, Andreas Joachim, Sciabà, Andrea, Smith, David
出版事項:
EDP Sciences
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オンライン・アクセス:Citation/Abstract
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その他の書誌記述
抄録:Efficient remote file access is essential for High Energy Physics (HEP) experiments, particularly with the anticipated tenfold increase in data volume for Run 4 of the LHC. XRootD and EOS are critical components of the HEP ecosystem, enabling remote data access via XRootD and HTTP protocols. In this work, we evaluate the performance of various client implementations over these protocols using an XRootD server with a high-performance tmpfs mount. In order to ensure an infrastructure-independent assessment, benchmarking is conducted in a controlled 100GbE networking environment, eliminating external bottlenecks and isolating software performance. Network integrity was first validated using iperf3 before executing the benchmarks. Our study identifies a performance bottleneck in multi-stream data transfers at high rates within the XRootD client. A fix has been developed and will be included in XRootD 5.8.0, significantly improving high-throughput data access.
ISSN:2101-6275
2100-014X
DOI:10.1051/epjconf/202533701339
ソース:Advanced Technologies & Aerospace Database