Open AccessCloud Technology for Forecasting Accuracy Evaluation of Extreme Metocean Events
Author(s) -
Sergey S. Kosukhin,
Sergey V. Kovalchuk,
Alexander V. Boukhanovsky
Publication year - 2015
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2015.05.483
Subject(s) - computer science , cloud computing , flood forecasting , ensemble learning , ensemble forecasting , provisioning , scheduling (production processes) , data mining , flood myth , machine learning , telecommunications , philosophy , operations management , theology , economics , operating system
The paper describes the approach for ensemble-based simulation within the tasks of extreme metocean events forecasting as an urgent computing problem. The approach is based on the developed conceptual basis of data-flow construction for the simulation-based ensemble forecasting. It was used to develop the architecture for ensemble-based data processing based on cloud computing environment CLAVIRE with extension for urgent computing resource provisioning and scheduling. Finally the solution for ensemble water level forecasting in Baltic Sea was developed as a part of St. Petersburg flood preventing system
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