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Dynamic Management of Multi-level-simulation Workflows in the Cloud

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Simulation Science (SimScience 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1199))

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Abstract

Executing dynamic simulations in a distributed environment allows saving resources and time which is a desired goal in research and industry. One example dynamic simulation is the multi-level-simulation. Here, specific parts of the simulation can be inspected on different levels of detail at runtime. To cope with the changing simulation requirements an elastic and scalable infrastructure is required, as well as an approach adjusting the infrastructure to the simulation needs. In this paper, we enhance a former approach coupling workflows with architectural needs to utilize monitored runtime information and support decision making. Moreover, we demonstrate the concept of executing dynamic simulations over a workflow based approach by dynamically choosing the levels of detail within a supply chain multi-level-simulation.

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The implementation of the presented approach, as well as videos demonstrating the example scenario, can be found at: https://gitlab.gwdg.de/rwm/.

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Acknowledgment

We thank the Simulationswissenschaftliches Zentrum Clausthal-Goettingen for financial support.

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Correspondence to Johannes Erbel .

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Erbel, J., Wittek, S., Grabowski, J., Rausch, A. (2020). Dynamic Management of Multi-level-simulation Workflows in the Cloud. In: Gunkelmann, N., Baum, M. (eds) Simulation Science. SimScience 2019. Communications in Computer and Information Science, vol 1199. Springer, Cham. https://doi.org/10.1007/978-3-030-45718-1_2

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  • DOI: https://doi.org/10.1007/978-3-030-45718-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-45717-4

  • Online ISBN: 978-3-030-45718-1

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