“等离子体与聚变云”研究数据平台迈向“开放科学”的进展

IF 2 3区工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY

Fusion Engineering and Design Pub Date : 2025-03-04 DOI:10.1016/j.fusengdes.2025.114898

Hideya Nakanishi , Masahiko Emoto , Arimichi Takayama , Takashi Yamamoto , Kenjiro Yamanaka , Shigeo Urushidani , Masaki Ohsuna , Setsuo Imazu , Masanobu Yoshida , Miki Nonomura , Shinsuke Satake , Yasushi Todo , Masaki Osakabe , Ryuichi Sakamoto

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引用次数: 0

摘要

实现等离子体和聚变实验数据生态系统的新云平台“等离子体和聚变云”已经在一些基本问题上得到了技术验证。如此庞大的诊断数据量不仅需要高性能计算（HPC）平台来进行LHD物理数据分析，还需要用于下一代实验，如ITER和JT-60SA。在NIFS使用HPC超级计算机“Raijin”和LHD主数据存储系统进行了性能评估，两者通过100gbps以太网光链路直接连接。测试结果表明，通过多个并行流的方式，几乎可以占用整个带宽。为了使等离子体和聚变诊断数据“公平”，LHD的所有诊断数据对象现在正在为每个采集节点和等离子体脉冲注册数字对象标识符（DOI）。2023年，LHD诊断数据发布的doi超过120万份。云技术作为高性能数据计算平台也非常有前途，不仅用于物理数据分析，还用于实时等离子体和工厂控制。在AWS开放数据赞助计划（ODP）下，AWS (Amazon Web Service) S3云存储已经接受了一项提案，将所有2.0 pb压缩的LHD物理数据存储在开放访问中。AWS也是NII在日本的研究数据云（RDC）框架中计算云的商业提供商之一，允许LHD数据用户根据需要增加或减少他们所需的计算能力。本研究的演示和技术验证表明，下一代融合数据研究中心可以基于云技术。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Progress of “Plasma and Fusion Cloud” research data platform towards “Open Science”

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Progress of “Plasma and Fusion Cloud” research data platform towards “Open Science”

A new cloud platform to realize the plasma and fusion experimental data ecosystem, named the “Plasma and Fusion Cloud,” has been technically verified on some fundamental issues. Such an enormous amount of diagnostic data requires a high-performance computing (HPC) platform not only for LHD physics data analyses but also for next-generation experiments, such as ITER and JT-60SA. Performance evaluation has been done at NIFS by using the HPC supercomputer “Raijin” and the LHD primary data storage system, both of which are directly connected by the 100 Gbps Ethernet optical link. The test results show that almost a full bandwidth can be used by means of multiple parallel streams.

In order to make plasma and fusion diagnostic data “FAIR”, all the LHD’s diagnostic data objects are now under way to be registered with digital object identifiers (DOI) for each acquisition node and plasma pulse. In 2023, more than 1.2 million DOIs were issued for the LHD diagnostic data. Cloud technology is also very promising as a high-performance data computing platform, not only for physics data analyses but also for real-time plasma and plant controls. AWS (Amazon Web Service) S3 cloud storage has accepted a proposal to store all 2.0 peta-byte of compressed LHD physics data for open access, under the AWS Open Data Sponsorship Program (ODP). AWS is also one of the commercial providers of computing clouds in the framework of NII’s Research Data Cloud (RDC) in Japan, allowing LHD data users to increase or decrease the computing power they need on demand.

The demonstrations and technical verifications done in this study suggest that a next-generation fusion data research center could be based on cloud technology.

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来源期刊

Fusion Engineering and Design 工程技术-核科学技术

CiteScore

3.50

自引率

23.50%

发文量

275

审稿时长

3.8 months

期刊介绍： The journal accepts papers about experiments (both plasma and technology), theory, models, methods, and designs in areas relating to technology, engineering, and applied science aspects of magnetic and inertial fusion energy. Specific areas of interest include: MFE and IFE design studies for experiments and reactors; fusion nuclear technologies and materials, including blankets and shields; analysis of reactor plasmas; plasma heating, fuelling, and vacuum systems; drivers, targets, and special technologies for IFE, controls and diagnostics; fuel cycle analysis and tritium reprocessing and handling; operations and remote maintenance of reactors; safety, decommissioning, and waste management; economic and environmental analysis of components and systems.