This title appears in the Scientific Report :
2019
Please use the identifier:
http://dx.doi.org/10.3390/app9040728 in citations.
Please use the identifier: http://hdl.handle.net/2128/21808 in citations.
Architectural Concept and Evaluation of a Framework for the Efficient Automation of Computational Scientific Workflows: An Energy Systems Analysis Example
Architectural Concept and Evaluation of a Framework for the Efficient Automation of Computational Scientific Workflows: An Energy Systems Analysis Example
Scientists and engineers involved in the design of complex system solutions use computational workflows for their evaluations. Along with growing system complexity, the complexity of these workflows also increases. Without integration tools, scientists and engineers are often highly concerned with h...
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Personal Name(s): | Liu, Jianlei (Corresponding author) |
---|---|
Braun, Eric / Düpmeier, Clemens / Kuckertz, Patrick / Ryberg, Severin David / Robinius, Martin / Stolten, Detlef / Hagenmeyer, Veit | |
Contributing Institute: |
Technoökonomische Systemanalyse; IEK-3 |
Published in: | Applied Sciences, 9 (2019) 4, S. 728 - |
Imprint: |
Basel
MDPI
2019
|
DOI: |
10.3390/app9040728 |
Document Type: |
Journal Article |
Research Program: |
Electrolysis and Hydrogen |
Link: |
OpenAccess OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/21808 in citations.
Scientists and engineers involved in the design of complex system solutions use computational workflows for their evaluations. Along with growing system complexity, the complexity of these workflows also increases. Without integration tools, scientists and engineers are often highly concerned with how to integrate software tools and model sets, which hinders their original research or engineering aims. Therefore, a new framework for streamlining the creation and usage of automated computational workflows is introduced in the present article. It uses state-of-the-art technologies for automation (e.g., container-automation) and coordination (e.g., distributed message oriented middleware), and a microservice-based architecture for novel distributed process execution and coordination. It also supports co-simulations as part of larger workflows including additional auxiliary computational tasks, e.g., forecasting or data transformation. Using Apache NiFi, an easy-to-use web interface is provided to create, run and control workflows without the need to be concerned with the underlying computing infrastructure. Initial framework testing via the implementation of a real-world workflow underpins promising performance in the realms of parallelizability, low overheads and reliable coordination |