Hpc Based Smart Remote Execution Solution for Modelling Environmental Issues

The size, complexity and dimensionality of data collections are ever increasing from the beginning of the computer era. Demands on computing power for processing and creating environmental models based on these data collections are also increasing. There is main issues when creating hydrodynamic model extensive data collection is processed; this task is time-consuming and needs to be processed as quickly as possible. This problem can be partially solved using Remote execution, where a high-performance remote (Cloud or High Performance Computing) device can be quickly calculated. An effective remote execution of environmental models is discussed in this paper, while the main focus is on minimizing of time computation. The achieved speed-up was better and cheaper than using standard computers.