Abstract
The concept of “Industry 4.0” considers smart factories as data-driven and knowledge enabled enterprise intelligence. In such kind of factory, manufacturing processes and final products are accompanied by virtual models – Digital Twins. To support Digital Twins concept, a simulation model for each process or system should be implemented as independent computational service. The only way to implement an orchestration of a set of independent services and provide scalability for simulation is to use a cloud computing platform as a provider of the computing infrastructure. In this paper, we describe a Digital Twin-as-a-Service (DTaaS) model for simulation and prediction of industrial processes using Digital Twins. © 2017 Copyright held by the owner/author(s).
Originalsprache | Englisch |
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Seiten | 205-206 |
Seitenumfang | 2 |
DOIs | |
Publikationsstatus | Veröffentlicht - 2017 |
Veranstaltung | 10th IEEE/ACM International Conference on Utility and Cloud Computing - Austin, USA/Vereinigte Staaten Dauer: 5 Dez. 2017 → 8 Dez. 2017 |
Konferenz
Konferenz | 10th IEEE/ACM International Conference on Utility and Cloud Computing |
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Kurztitel | UCC 2017 |
Land/Gebiet | USA/Vereinigte Staaten |
Ort | Austin |
Zeitraum | 5/12/17 → 8/12/17 |