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  4. A brief introduction to deploy Amazon Web Services for online discrete-event simulation
 
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2022
Journal Article
Title

A brief introduction to deploy Amazon Web Services for online discrete-event simulation

Abstract
The concept of digital twin demands fast and efficient methods to distribute, initialize, and execute simulation models that replicate real-world systems and processes. In the field of production and logistics, discrete-event simulation (DES) is the method of choice when it comes to developing digital twins. Cloud platforms such as Amazon Web Services (AWS) give the opportunity to distribute and parallelize the computationally expensive execution of simulation models on high-performance systems. However, there is presently no guidance on the real-time deployment of DES models on cloud infrastructures, making the topic difficult to approach. Against this background, we present an intuitive and practice-oriented procedure model for deploying DES models on AWS. We support our explanations with a demonstration of our procedure model using an end-to-end example of a simple order manufacturing process.
Author(s)
Hofmann, Wladimir
Lang, Sebastian  
Fraunhofer-Institut für Fabrikbetrieb und -automatisierung IFF  
Reichardt, Paul
Otto von Guericke University Magdeburg
Reggelin, Tobias  
Fraunhofer-Institut für Fabrikbetrieb und -automatisierung IFF  
Journal
Procedia computer science  
Conference
International Conference on Industry 4.0 and Smart Manufacturing 2021  
Open Access
DOI
10.1016/j.procs.2022.01.237
Language
English
Fraunhofer-Institut für Fabrikbetrieb und -automatisierung IFF  
Keyword(s)
  • Amazon Web Services

  • AWS

  • Cloud Simulation

  • DES

  • Digital Twin

  • Discrete-Event Simulation

  • Online Simulation

  • Real-Time

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