Please use this identifier to cite or link to this item:

http://hdl.handle.net/10609/122028
Title: Combining symbiotic simulation systems with enterprise data storage systems for real-time decision-making
Author: Onggo, Bhakti Stephan
Gunes Corlu, Canan
Juan Pérez, Ángel Alejandro
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)
Keywords: symbiotic simulation systems
enterprise data storage systems
online simulation
digital twin
real-time decision
big data
Issue Date: 18-Jun-2020
Publisher: Enterprise Information Systems
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
Also see: https://doi.org/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.
Language: English
URI: http://hdl.handle.net/10609/122028
ISSN: 1751-7575MIAR
Appears in Collections:Articles
Articles

Share:
Export:

This item is licensed under a Creative Commons License Creative Commons