Data Management in Multi-Agent Simulation Systems
dc.contributor.author | Glake, Daniel | |
dc.contributor.author | Panse, Fabian | |
dc.contributor.author | Ritter, Norbert | |
dc.contributor.author | Clemen, Thomas | |
dc.contributor.author | Lenfers, Ulfia | |
dc.contributor.editor | Kai-Uwe Sattler | |
dc.contributor.editor | Melanie Herschel | |
dc.contributor.editor | Wolfgang Lehner | |
dc.date.accessioned | 2021-03-16T07:57:11Z | |
dc.date.available | 2021-03-16T07:57:11Z | |
dc.date.issued | 2021 | |
dc.description.abstract | Multi-agent simulations are an upcoming trend to deal with the urgent need to predict complex situations as they arise in many real-life areas, such as disaster or traffic management. Such simulations require large amounts of heterogeneous data ranging from spatio-temporal to standard object properties. This and the increasing demand for large scale and real-time simulations pose many challenges for data management. In this paper, we present the architecture of a typical agent-based simulation system, describe several data management challenges that arise in such a data ecosystem, and discuss their current solutions within our multi-agent simulation system MARS. | en |
dc.identifier.doi | 10.18420/btw2021-22 | |
dc.identifier.isbn | 978-3-88579-705-0 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/35806 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik, Bonn | |
dc.relation.ispartof | BTW 2021 | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-311 | |
dc.subject | Multi-agent simulations | |
dc.subject | Spatio-temporal data | |
dc.subject | Polyglot data management | |
dc.title | Data Management in Multi-Agent Simulation Systems | en |
gi.citation.endPage | 436 | |
gi.citation.startPage | 423 | |
gi.conference.date | 13.-17. September 2021 | |
gi.conference.location | Dresden | |
gi.conference.sessiontitle | (Industrial) Use Cases & Applications |
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