This paper presents a prototype of a flood forecasting system based on Grid computing. Flood forecasting is a complex problem that requires cooperation and coupling of many simulation models. To enable this coupling in an effective way, a part of the CrossGrid project is aimed towards developing a Grid Computing Environment (GCE) for flood forecasting, as described here. The Grid computing environmentconsists of a cascade of simulation models, a storage system for computed and measured data and other used datasets, a web-based portal with collaboration tools and a powerful computation facility. The whole system is tied together by Grid technology and is used to support a virtual organization of experts, developers and users.
CITATION STYLE
Hluchý, L., Astaloš, J., Dobrucký, M., Habala, O., Šimo, B., & Tran, V. D. (2004). Flood forecasting in a grid computing environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3019, pp. 831–839). Springer Verlag. https://doi.org/10.1007/978-3-540-24669-5_108
Mendeley helps you to discover research relevant for your work.