2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) (2016)
Heraklion, Crete, Greece
Feb. 17, 2016 to Feb. 19, 2016
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PDP.2016.80
Scientific applications process a large amount of data and need huge computing power. Traditionally, they are executed in supercomputers, cluster or grid environments. Recently, the cloud also emerged as a feasible execution environment for this kind of application. The viability of using cloud was already extensively validated. In this work, we migrated a weather forecast application to the Microsoft Azure cloud. The intention of our work is to perform an application modernization using the cloud technology. Several pre-and post-processing procedures were modified to decrease or eliminate repetitive tasks. Additionally, the configuration of the application is no longer necessary in the user perspective. We can conclude that with some modification, scientific applications can benefit from cloud technologies, and it is possible to create modern services based on legacy applications.
Cloud computing, Clouds, Weather forecasting, Computational modeling, Predictive models, Atmospheric modeling
E. D. Carreno, E. Roloff and P. O. Navaux, "Towards Weather Forecasting in the Cloud," 2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), Heraklion, Crete, Greece, 2016, pp. 659-663.