科学工作流程中的来源调查

IF 0.7 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of High Speed Networks Pub Date : 2023-02-15 DOI:10.3233/jhs-222017

Songhai Lin, Hong Xiao, Wenjun Jiang, Dafeng Li, Jiaben Liang, Zelin Li

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引用次数: 0

摘要

科学工作流程形式的数据分析自动化已成为许多研究领域广泛采用的实践。使用工作流的数据密集型实验启用了自动化和来源支持，这有助于减轻可再现性危机。本文研究了现有的种源模型以及科学工作流的应用。此外，在这里我们不仅总结了不同层次的模型，还比较了应用程序，特别是区块链应用于科学工作流程中的出处。在此基础上，提出了一种新的安全溯源系统设计方案。最后还讨论了由新兴技术实现的来源。

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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A survey of provenance in scientific workflow

The automation of data analysis in the form of scientific workflows has become a widely adopted practice in many fields of research. Data-intensive experiments using workflows enabled automation and provenance support, which contribute to alleviating the reproducibility crisis. This paper investigates the existing provenance models as well as scientific workflow applications. Furthermore, here we not only summarize the models at different levels, but also compare the applications, particularly the blockchain applied to the provenance in scientific workflows. After that, a new design of secure provenance system is proposed. Provenance that would be enabled by the emerging technology is also discussed at the end.

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来源期刊

Journal of High Speed Networks Computer Science-Computer Networks and Communications

CiteScore

1.80

自引率

11.10%

发文量

期刊介绍： The Journal of High Speed Networks is an international archival journal, active since 1992, providing a publication vehicle for covering a large number of topics of interest in the high performance networking and communication area. Its audience includes researchers, managers as well as network designers and operators. The main goal will be to provide timely dissemination of information and scientific knowledge. The journal will publish contributed papers on novel research, survey and position papers on topics of current interest, technical notes, and short communications to report progress on long-term projects. Submissions to the Journal will be refereed consistently with the review process of leading technical journals, based on originality, significance, quality, and clarity. The journal will publish papers on a number of topics ranging from design to practical experiences with operational high performance/speed networks.