May 5, 2021 · This article proposes the use of six conditions that seek to minimize the cost of processing big geospatial data in public cloud providers.
This article proposes the use of six conditions that seek to minimize the cost of processing big geospatial data in public cloud providers. The tests performed ...
This paper presents an architecture, supported by a Knownlegde Base and an Inference Engine, to process big geospatial data in public cloud providers with ...
Bachiega, J., Jr., Holanda, M., & Araujo, A. P. F. (2021). A proposal to minimize the cost of processing big geospatial data in public cloud providers.
A proposal to minimize the cost of processing big geospatial data in public cloud providers. Article. May 2021. Joao Bachiega ...
This paper presents a cost-efficient method for processing geospatial data on public cloud providers, optimizing the number of data nodes in a Hadoop ...
This article presents a cost-efficient method for determine the cluster size for processing big geospatial data using SpatialHadoop on public cloud providers.
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In this context, this article presents a method for cost-efficient processing in public cloud providers for big geospatial data using. SpatialHadoop. For this, ...
A proposal to minimize the cost of processing big geospatial data in public cloud providers. J Bachiega Jr, M Holanda, APF Araujo. Transactions in GIS 25 (3) ...
A proposal to minimize the cost of processing big geospatial data in public cloud providers. J Bachiega Jr, M Holanda, APF Araujo. Transactions in GIS 25 (3) ...