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dc.contributor.authorPreisler, Thomas
dc.contributor.authorBalthasar, Gregor
dc.contributor.authorDethlefs, Tim
dc.contributor.authorRenz, Wolfgang
dc.contributor.editorGómez, Jorge Marx
dc.contributor.editorSonnenschein, Michael
dc.contributor.editorVogel, Ute
dc.contributor.editorWinter, Andreas
dc.contributor.editorRapp, Barbara
dc.contributor.editorGiesen, Nils
dc.date.accessioned2019-09-16T03:12:59Z
dc.date.available2019-09-16T03:12:59Z
dc.date.issued2014
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/25748
dc.description.abstractThis paper presents a scalable integration approach for algorithms and models written in fourth generation (programming) languages for massive Smart Grid simulations as well as applications. While fourth generation languages (4GL) focus on rapid application development and the reduction of lines of code, they lack of integration and scalability features. Nevertheless, they are widely spread and often used by engineers. The scalable integration of such elements is achieved in this paper by wrapping the 4GL-models and algorithms with established web technologies like RESTful web services and load balancing. The provision of a seamless integration concept allows engineers to focus on rapid application development and liberates them from integration efforts.de
dc.description.urihttp://enviroinfo.eu/sites/default/files/pdfs/vol8514/0341.pdfde
dc.publisherBIS-Verlag
dc.relation.ispartofProceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management
dc.relation.ispartofseriesEnviroInfo
dc.titleScalable Integration of 4GL-Models and Algorithms for massive Smart Grid Simulations and Applicationsde
dc.typeText/Conference Paper
dc.pubPlaceOldenburg
mci.conference.sessiontitleSmart Grids
mci.conference.locationOldenburg
mci.conference.date2014


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