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Oftmals stellen die beteiligten Komponentenlieferanten ihre Teilmodelle jedoch nur als Black-Box bereit, um ihr geistige Eigentum zu sch\u00fctzen. In diesem Fall ist im Rahmen der Systemintegration eine monolithische Berechnung des Gesamtsystems nicht mehr m\u00f6glich. Hier kann die Methode der Co-Simulation entscheidend weiterhelfen, m\u00f6gliche Betriebszust\u00e4nde und Optima effizient zu ermitteln.<\/jats:p><jats:p>Im vorliegenden Artikel wird beschrieben, wie diese Methode unter Einsatz von Multi-Cloud-Technologien und -Ressourcen in einem skalierbaren System implementiert wurde. Dabei werden sowohl Privacy-Aspekte der beteiligten Akteure als auch eine optimale Ausnutzung lokaler und in der Cloud verf\u00fcgbarer Ressourcen unter Ber\u00fccksichtigung von Performance- und Kostenaspekten betrachtet. Der Einsatz der ausgew\u00e4hlten Technologien erlaubt es, eine Vielzahl an Berechnungen parallel durchzuf\u00fchren und so komplexe Parameterr\u00e4ume durch entsprechende Variationsrechnungen in k\u00fcrzester Zeit abzutasten.<\/jats:p>","DOI":"10.1365\/s40702-023-01004-9","type":"journal-article","created":{"date-parts":[[2023,9,13]],"date-time":"2023-09-13T16:02:48Z","timestamp":1694620968000},"page":"1062-1076","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Einsatz von Cloud-Technologien und -ressourcen in der Co-Simulation","Use of cloud technologies and resources in co-simulation"],"prefix":"10.1365","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-3839-4429","authenticated-orcid":false,"given":"Thorsten","family":"Wack","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Schr\u00f6der","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"93","published-online":{"date-parts":[[2023,9,13]]},"reference":[{"key":"1004_CR2","unstructured":"Amazon Web Services (2021) AWS Lambda Functions Powered by AWS Graviton2 Processor\u2014Run Your Functions on Arm and Get Up to 34\u202f% Better Price Performance | Amazon Web Services. https:\/\/aws.amazon.com\/de\/blogs\/aws\/aws-lambda-functions-powered-by-aws-graviton2-processor-run-your-functions-on-arm-and-get-up-to-34-better-price-performance\/. 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