High-Throughput Geocomputational Workflows in a Grid Environment.

A grid-computing platform facilitates geocomputational workflow composition to process big geosciences data while fully using idle resources to accelerate processing speed. An experiment with aerosol optical depth retrieval from satellite data shows a 25 percent improvement in runtime over a single...

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Detalles Bibliográficos
Publicado en:	Computer (00189162) Vol. 48; no. 11; pp. 70 - 81
Autores principales:	Liu, Jia, Xue, Yong, Palmer-Brown, Dominic, Chen, Ziqiang, He, Xingwei
Formato:	Artículo
Publicado:	IEEE Nov2015
Materias:	Workflow Grid computing Earth sciences Big data Aerosols
Acceso en línea:	Ver este registro en EBSCOhost

Descripción
Sumario:	A grid-computing platform facilitates geocomputational workflow composition to process big geosciences data while fully using idle resources to accelerate processing speed. An experiment with aerosol optical depth retrieval from satellite data shows a 25 percent improvement in runtime over a single high-performance computer.