Design and construction of High Energy Photon Source (HEPS) scientific data storage system

The High Energy Photon Source (HEPS), one of the world’s brightest fourth-generation synchrotron radiation facilities, requires a scientific data storage system capable of managing exabyte-scale datasets, high-concurrency access, and long-term preservation. This paper systematically presents the design logic and technical solutions for HEPS’s three-tier storage architecture (beamline storage, central storage, and tape storage). Additionally, it discusses optimization strategies for the Lustre distributed file system, including high-availability architecture design and cross-platform permission synchronization mechanisms.

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Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533701204
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
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article

Design and construction of High Energy Photon Source (HEPS) scientific data storage system

Qiuling Yao, Qingbao Hu, Yaosong Chengys
EPJ Web of Conferences
Distributed and Parallel Computing Systems
article

Design and construction of High Energy Photon Source (HEPS) scientific data storage system

Qiuling Yao, Qingbao Hu, Yaosong Chengys
article en

Abstract

The High Energy Photon Source (HEPS), one of the world’s brightest fourth-generation synchrotron radiation facilities, requires a scientific data storage system capable of managing exabyte-scale datasets, high-concurrency access, and long-term preservation. This paper systematically presents the design logic and technical solutions for HEPS’s three-tier storage architecture (beamline storage, central storage, and tape storage). Additionally, it discusses optimization strategies for the Lustre distributed file system, including high-availability architecture design and cross-platform permission synchronization mechanisms.

EPJ Web of ConferencesVol. 337
Institute of High Energy Physics (CN)
Openalex Percentile: Top 68%
Distributed and Parallel Computing Systems
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