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Proceedings Paper

Distributed spatial data management
Author(s): Hua Liu; De-ren Li; Xin-yan Zhu
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Paper Abstract

The complexity of spatial data management will be high as the volume of spatial data increases rapidly. As the emerging technology, it is an innovative method that grid computing technology is applied to manage geographically distributed, autonomous and heterogeneous spatial data. Integrating grid computing with spatial data management technology, the authors designed a basic but high extensible framework for managing distributed and large-scale spatial data. In this paper we put emphasis upon spatial metadata service design and spatial data grid design.

Paper Details

Date Published: 2 December 2005
PDF: 8 pages
Proc. SPIE 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications, 60451N (2 December 2005); doi: 10.1117/12.651219
Show Author Affiliations
Hua Liu, Wuhan Univ. (China)
De-ren Li, Wuhan Univ. (China)
Xin-yan Zhu, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 6045:
MIPPR 2005: Geospatial Information, Data Mining, and Applications
Jianya Gong; Qing Zhu; Yaolin Liu; Shuliang Wang, Editor(s)

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