Retrieving and Indexing Spatial Data in the Cloud Computing Environment

Authors:
Yonggang Wang;Sheng Wang;Daliang Zhou
Affiliations:
Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China 100101;Beijing Easymap Information Technology Co., Ltd, Beijing, China 100080;Beijing Easymap Information Technology Co., Ltd, Beijing, China 100080
Venue:
CloudCom '09 Proceedings of the 1st International Conference on Cloud Computing
Year:
2009

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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.