Title | ||
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Combining Symbiotic Simulation Systems With Enterprise Data Storage Systems For Real-Time Decision-Making |
Abstract | ||
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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. |
Year | DOI | Venue |
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2021 | 10.1080/17517575.2020.1777587 | ENTERPRISE INFORMATION SYSTEMS |
Keywords | DocType | Volume |
Symbiotic simulation systems, enterprise data storage systems, online simulation, digital twin, real-time decision, big data | Journal | 15 |
Issue | ISSN | Citations |
2 | 1751-7575 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
B S S Onggo | 1 | 82 | 14.17 |
Canan G. Corlu | 2 | 30 | 6.12 |
Angel A. Juan | 3 | 596 | 69.73 |
Thomas Monks | 4 | 31 | 6.41 |
Rocio de la Torre | 5 | 0 | 0.34 |