Abstract
Spatial applications will gain high complexity as the volume of spatial data increases rapidly. A suitable data processing and computing infrastructure for spatial applications needs to be established. Over the past decade, grid has become a powerful computing environment for data intensive and computing intensive applications. Integrating grid computing with spatial data processing technology, the authors designed a spatial data processing grid (called SDPG) to address the related problems. Requirements of spatial applications are examined and the architecture of SDPG is described in this paper. Key technologies for implementing SDPG are discussed with emphasis.
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Supported by the National Natural Science Foundation of China (Grant Nos.60203016 and 69933030) and the National Hi-Tech R&D 863 Program of China (Grant Nos.2002AA131010, 2002AA104310 and 2001AA112031).
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Xiao, N., Fu, W. SDPG: Spatial data processing grid. J. Comput. Sci. & Technol. 18, 523–530 (2003). https://doi.org/10.1007/BF02948927
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DOI: https://doi.org/10.1007/BF02948927