Abstract
Spatial Information Grid (SIG) is a project of applying grid technology to share and integrate spatial data resources, information processing resources, equipment resources, and knowledge resources. SIG computing environment aims to apply the concept of SIG to share hybrid computing resources for processing remote sensing (RS) images. RS image processing is a data-intensive computing problem, and it adapts to be processed according data parallel computing model. In this paper, we discuss the architecture of SIG computing environment, which can provide a powerful computing infrastructure used to process RS image cooperatively. In order to achieve high performance, we propose a model of the image division. From the relation among the processing time, the communication latency, and the transferring ratio, we can achieve some useful conclusions to determine the strategy of the image division. Furthermore, we can discover two optimal division strategies through comparing the experimental results with those useful conclusions.
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Yang, C., Guo, D., Ren, Y., Luo, X., Men, J. (2005). The Architecture of SIG Computing Environment and Its Application to Image Processing. In: Zhuge, H., Fox, G.C. (eds) Grid and Cooperative Computing - GCC 2005. GCC 2005. Lecture Notes in Computer Science, vol 3795. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590354_73
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DOI: https://doi.org/10.1007/11590354_73
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30510-1
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