| DOI | Resolve DOI: https://doi.org/10.1109/DS-RT52167.2021.9576133 |
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| Author | Search for: Power, Joshua; Search for: Jacoby, Derek; Search for: Sun, Xi; Search for: Plaudis, Matt; Search for: Drouin, Marc-Antoine1; Search for: Coady, Yvonne; Search for: Meng, Julian |
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| Affiliation | - National Research Council of Canada. Digital Technologies
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| Format | Text, Article |
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| Conference | 2021 IEEE/ACM 25th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), Sept. 27-29, 2021, Valencia, Spain [Virtual Host City] |
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| Physical description | 2 p. |
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| Subject | real-time simulation; data driven mission planning; distributed system; cloud processing; machine learning; Internet of Underwater Things; Internet of Flyings Things; marine megafauna |
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| Abstract | Current mission planning simulations are typically carefully designed around a tradeoff between tight integration with accurate geospatial data or meeting real-time demands. Our proposed system is designed to achieve both. Deriving from work on cloud geospatial stores and mission planning systems, we are developing a platform for consuming new data, building it into models accessible from a real-time simulation server, and constructing machine learning systems over this data. This combination of large datasets with continuous pipelines feeding a real-time simulation forces us to bring together innovations on both the cloud infrastructure and user interface level. |
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| Publication date | 2021-11-01 |
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| Publisher | IEEE |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 74c35531-0bf0-4695-8412-efc79bd7146d |
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| Record created | 2021-11-10 |
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| Record modified | 2021-11-12 |
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