Cloud Computing für die Kalibrierung von Hochwassersimulationen
| dc.contributor.author | Brettschneider, Marco | |
| dc.contributor.author | Pfützner, Bernd | |
| dc.contributor.author | Fuchs-Kittowski, Frank | |
| dc.contributor.editor | Hosenfeld, Friedhelm | |
| dc.contributor.editor | Knetsch, Gerlinde | |
| dc.contributor.editor | Zacharias, Uta | |
| dc.date.accessioned | 2019-09-20T12:04:37Z | |
| dc.date.available | 2019-09-20T12:04:37Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | Well calibrated rainfall runoff models of sufficient complexity are a necessary basis for accurate flood water simulations in order to prevent losses. Using the hydrologic modeling system ArcEGMO in a small catchment as an example, IaaS cloud computing has be proven fast and cost-efficient for short-term usage. On the other hand, IaaS cloud instances cannot replace local computers, since long-term usage is still expensive and the performance of the offered architectures can slow down a calibration process on the long run. Ultimately, cloud computing has the potential to be a useful extension of local computer capacities if state of the art computer hardware with a fair pricing is offered by IaaS providers. | de |
| dc.description.uri | http://www.umweltbundesamt.de/sites/default/files/medien/378/publikationen/doku_58_2015_umweltinformationssysteme_1.pdf#page=103 | de |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/27705 | |
| dc.publisher | Umweltbundesamt | |
| dc.relation.ispartof | Umweltinformationssysteme. Big Data – Open Data – Data Variety | |
| dc.relation.ispartofseries | Workshops "AK Umweltinformationssysteme" | |
| dc.title | Cloud Computing für die Kalibrierung von Hochwassersimulationen | de |
| dc.type | Text/Conference Paper | |
| gi.citation.publisherPlace | Dessau-Roßlau | |
| gi.conference.date | 2015 | |
| gi.conference.location | Karlsruhe (2014) und Kassel (2015) | |
| gi.conference.sessiontitle | Workshop 2014 |