Paper Info
Title
A new storage architecture based on global subdivision theory for spatial data
Abstract
In order to more efficiently store and manage the massive spatial data and support the location based service, alternatives to spatial data storage system are urgently needed as the amount of spatial data is greatly increasing. Global Subdivision Storage Cluster (GS2G or Geocluster), which is a new kind of storage system based on global subdivision theory for spatial data, is presented in this paper. The system architecture of Geocluster is integrated with the framework of Global Subdivision Grid (GSG), the computer cluster theory, and the space-temporal integration technology. The main characteristics of this storage technology are the storage management of space-based integration and each storage node of Geocluster has an accordingly geospatial meaning. The concept of Geocluster, general design, and key technologies are emphatically described in the paper. The study on storage cluster theory based on the global subdivision framework will make a solid theoretical foundation for the storage system of global spatial data.
Year
DOI
Venue
2010
10.1109/GEOINFORMATICS.2010.5567475
Geoinformatics
Keywords
Field
DocType
global subdivision,pattern clustering,geology,visual databases,storage management,geocluster architecture,spatial data,space temporal integration technology,global subdivision storage cluster,geocluster,space based integration,storage cluster,storage architecture,memory architecture,spatial data storage system,global subdivision theory,location based service,computer cluster theory,storage system,indexes,computer architecture,data models,system architecture,encoding,earth
Geospatial analysis,Spatial analysis,Data mining,Data modeling,Computer science,Computer data storage,Subdivision,Systems architecture,Memory architecture,Grid,Database
Conference
ISBN
Citations 
PageRank 
978-1-4244-7301-4
0
0.34
References 
Authors
2
3
Name
Order
Citations
PageRank
Chengqi Cheng11918.71
Xuefeng Lv200.68
Li Guan300.68