An adaptive inverse-distance weighting spatial interpolation technique
Computers & Geosciences
Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud
CLOUDCOM '10 Proceedings of the 2010 IEEE Second International Conference on Cloud Computing Technology and Science
Comparison of design and performance of snow cover computing on GPUs and multi-core processors
WSEAS Transactions on Information Science and Applications
Design and performance evaluation of snow cover computing on GPUs
ICCOMP'10 Proceedings of the 14th WSEAS international conference on Computers: part of the 14th WSEAS CSCC multiconference - Volume II
SP 800-145. The NIST Definition of Cloud Computing
SP 800-145. The NIST Definition of Cloud Computing
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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.