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29 November 2021 to 6 December 2021
Virtual event
Europe/Vienna timezone
30 Nov - 3 Dec, 2021 Abstract submission open NOW

Full life-cycle provenance of physical modules repositories for integrated modeling and analysis workflow

3 Dec 2021, 15:25
10m
Virtual event

Virtual event

Short Talks Big data Friday 3 Dec

Speaker

Mrs Xiaojuan Liu (Institute of Plasma Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences)

Description

"Data provenance" is critical to establishing repeatable and integrated modeling and analysis workflow (e.g. IMAS). Most of the physical modules in the workflow are published in source code. The configuration parameters and compilation environment during the module construction process can affect their output. The provenance information generated by traditional workflow management tools only documents the process of data generation, and lacks records of the construction process of the modules that generated the data. In the present work, a tool chain for the full life-cycle management of the physical module repository is developed. A common module specification is defined that contains the data interface to the physical module, as well as the description of the program coding, building, deploying, executing, and retiring process. The full life-cycle of physical modules, from source code to workflow actors, is automatically managed and documented through CI/CD tools.

Country or International Organisation China
Affiliation Institute of Plasma Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences

Primary author

Mrs Xiaojuan Liu (Institute of Plasma Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences)

Co-authors

Zhi Yu (Institute of Plasma Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences) Nong Xiang (Institute of Plasma Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences)

Presentation materials