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Distributed spatial data management

Authors: Hua Liu; De-ren Li; Xin-yan Zhu;

Distributed spatial data management

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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