In a short span of time, cloud computing has grown, particularly for commercial web applications. But the cloud computing has the potential to become a greater instrument for scientific computing as well. A pay-as-you-go model with minimal or no upfront costs creates a flexible and cost-effective means to access compute resources. In this paper, we carry out a study of the performance of the spatial data interpolation of depth of the snow cover on the most widely used cloud infrastructure (Amazon Elastic Compute Cloud). The main characteristic of the interpolating computing is the fact that it is time-consuming and data intensive; therefore utilizing parallel programming paradigm is eligible. The geoprocessing is realized on two configuration provided by Amazon EC2 and the results as well as performance of the computing is presented in the article.
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