Abstract
In order to solve the drawbacks of spatial data storage in common Cloud Computing platform, we design and present a framework for retrieving, indexing, accessing and managing spatial data in the Cloud environment. An interoperable spatial data object model is provided based on the Simple Feature Coding Rules from the OGC such as Well Known Binary (WKB) and Well Known Text (WKT). And the classic spatial indexing algorithms like Quad-Tree and R-Tree are re-designed in the Cloud Computing environment. In the last we develop a prototype software based on Google App Engine to implement the proposed model.
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© 2009 Springer-Verlag Berlin Heidelberg
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Wang, Y., Wang, S., Zhou, D. (2009). Retrieving and Indexing Spatial Data in the Cloud Computing Environment. In: Jaatun, M.G., Zhao, G., Rong, C. (eds) Cloud Computing. CloudCom 2009. Lecture Notes in Computer Science, vol 5931. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10665-1_29
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DOI: https://doi.org/10.1007/978-3-642-10665-1_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10664-4
Online ISBN: 978-3-642-10665-1
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