FAIR-MAST: A fusion device data management system

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2024-09-01 DOI:10.1016/j.softx.2024.101869

Samuel Jackson , Saiful Khan , Nathan Cummings , James Hodson , Shaun de Witt , Stanislas Pamela , Rob Akers , Jeyan Thiyagalingam , The MAST Team

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引用次数: 0

Abstract

We are introducing FAIR-MAST, a data management system designed for historical diagnostic data from the Mega Ampere Spherical Tokamak (MAST) fusion experiments. Following the FAIR (findability, accessibility, interoperability, and re-usability) principles, our system aims to address current accessibility issues with data that supports artificial intelligence and machine learning (AI/ML) and advanced data analysis. The system features public APIs with a searchable metadata index and object storage for remote data access. The API integrates a high-performance data analysis stack for scalable data analysis and AI/ML application development. Performance analysis demonstrates a tenfold improvement in data access speed compared to the legacy system, enabling more efficient and comprehensive data exploration. Additionally, our system is designed to be adaptable to other tokamak facilities, such as MAST-Upgrade (MAST-U) and the Joint European Torus (JET), to expedite fusion energy research and promote collaboration.

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FAIR-MAST：融合设备数据管理系统

我们正在介绍 FAIR-MAST，这是一个专为兆安培球形托卡马克（MAST）聚变实验的历史诊断数据而设计的数据管理系统。我们的系统遵循 FAIR（可查找性、可访问性、互操作性和可重用性）原则，旨在解决当前数据的可访问性问题，支持人工智能和机器学习（AI/ML）以及高级数据分析。该系统以公共应用程序接口为特色，具有可搜索的元数据索引和对象存储，可用于远程数据访问。应用程序接口集成了高性能数据分析堆栈，用于可扩展的数据分析和人工智能/ML 应用开发。性能分析表明，与传统系统相比，数据访问速度提高了十倍，从而实现了更高效、更全面的数据探索。此外，我们的系统还可用于其他托卡马克设施，如 MAST 升级版（MAST-U）和欧洲联合环（JET），以加快聚变能研究并促进合作。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.