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Title: | Combining symbiotic simulation systems with enterprise data storage systems for real-time decision-making |
Author: | Onggo, Bhakti Gunes Corlu, Canan Juan, Angel A. Monks, Thomas Torre Martínez, Rocío de la |
Others: | Universidad Pública de Navarra Boston University University of Southampton University of Exeter Universitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3) |
Citation: | Onggo, B. S., Corlu, C. G., Juan, A. A., Monks, T. & de la Torre, R.(2020). Combining symbiotic simulation systems with enterprise data storage systems for real-time decision-making. Enterprise Information Systems, 14, 1-18. doi: 10.1080/17517575.2020.1777587 |
Abstract: | A symbiotic simulation system (S3) enables interactions between a physical system and its computational model representation. To support operational decisions, an S3 uses real-time data from the physical system, which is gathered via sensors and saved in an enterprise data storage system (EDSS). Both real-time and historical data are then used as inputs to the different components of an S3. This paper proposes a generic system architecture for an S3 and discusses its integration within EDSSs. The paper also reviews the literature on S3 and analyses how these systems can be used for real-time decision-making. |
Keywords: | symbiotic simulation systems enterprise data storage systems online simulation digital twin real-time decision big data |
DOI: | 10.1080/17517575.2020.1777587 |
Document type: | info:eu-repo/semantics/article |
Version: | info:eu-repo/semantics/publishedVersion |
Issue Date: | 18-Jun-2020 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Articles cientÍfics Articles |
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