Abstract
In the field of geographic raster data processing, the performance of data access determines the overall performance of the parallel geographic program, especially when data are massive. Currently, the research on parallel optimizations for geographic raster data I/O is quite limited. By combining the data access paradigms in parallel geographic programs with the characteristics of the geographic raster logical and physical models, a parallel access architecture for geographic raster data is proposed in this paper, and four parallel access algorithms for geographic raster data is implemented on message passing model. Contrast tests are carried out, it is verified that the parallel access methods outperform not only the conventional sequential access method but also the time-sharing multi-processes data access method. This new architecture can be used to promote the access efficiency of the parallel raster processing algorithm and thus improve the parallel performance of the program.
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Ouyang, L., Huang, J., Wu, X., Yu, B. (2013). Parallel Access Optimization Technique for Geographic Raster Data. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. Communications in Computer and Information Science, vol 398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45025-9_52
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DOI: https://doi.org/10.1007/978-3-642-45025-9_52
Publisher Name: Springer, Berlin, Heidelberg
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