Towards Automation of Configuration Management for Multi-Research Infrastructure Experiments

Conference Paper (2023)
Author(s)

Oliver Gehrke (Technical University of Denmark (DTU))

Steffen Vogel (RWTH Aachen University)

Edmund Widl (AIT Austrian Institute of Technology)

Vetrivel Subramaniam Rajkumar (TU Delft - Intelligent Electrical Power Grids)

Minh Cong Pham Pham (CEA-Liten INES)

Quoc Tuan Tran (CEA-Liten INES)

Gabriele Paludetto (RSE)

José López Montero (TECNALIA)

Jirapa Kamsamrong (OFFIS – Institute for Information Technology)

Mohammad Arhum (OFFIS – Institute for Information Technology)

Research Group
Intelligent Electrical Power Grids
DOI related publication
https://doi.org/10.1109/EEE-AM58328.2023.10490311 Final published version
More Info
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Publication Year
2023
Language
English
Research Group
Intelligent Electrical Power Grids
ISBN (print)
979-8-3503-8107-8
ISBN (electronic)
979-8-3503-8106-1
Event
2023 Asia Meeting on Environment and Electrical Engineering (EEE-AM) (2023-11-13 - 2023-11-15), Hanoi, Viet Nam
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187
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Abstract

The complexity and dynamic nature of laboratory configurations pose a challenge when undertaking joint experiments, involving multiple Research Infrastructures (RIs). In this context, this paper presents an approach towards the automation of Configuration Management (CM) for joint experiments between multiple labs. The objective is to develop a CM workflow, based on the automated generation of individual local signal configurations from a single global experiment configuration. For this reason, a global experiment configuration file which defines signals, their exchange patterns between RIs, and the data transport packages used for the actual exchange is created. Furthermore, typical use cases based on static and dynamic lab configuration are defined and demonstrated using the proposed approach.

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