Architecture design of grid GIS and its applications on resource sharing

Author

Liu, Wei ; Cheng, Dayu ; Xiao, Rulin ; He, Yawen

Author_Institution

Jiangsu Key Lab. of Resources & Environ. Inf. Eng., China Univ. of Min. & Technol., Xuzhou, China

fYear

2010

fDate

18-20 June 2010

Firstpage

1

Lastpage

6

Abstract

Grid_GIS is an SOA (service-oriented architecture) based grid GIS system for data and function sharing in multiple application domains. The Grid_GIS adopts a Super P2P (peer-to-peer) architecture to realize the distributed storage, query processing and dynamic integration of data and functions resources. The domain ontology knowledge and reasoning rules are used to support the semantics-based intelligent query. Standards-based Web services, utilizes "push" mode to realize monitoring of resources. According to the monitor resource parameters to realize rapidly resource distribution. utilize WS-Security expansion to achieve grid security, gain compatibility with other grids and improve compatibility with other platforms. At last make a data sharing and transformation experimental system based on LAN, test the system\´s feasibility and effectiveness.

Keywords

Web services; geographic information systems; grid computing; inference mechanisms; ontologies (artificial intelligence); peer-to-peer computing; query processing; security of data; semantic networks; SOA; data sharing; distributed storage; domain ontology knowledge; dynamic integration; function sharing; grid GIS architecture design; peer-to-peer architecture; query processing; reasoning rules; resource sharing; semantics-based intelligent query; service-oriented architecture; standards-based Web services; super P2P; transformation experimental system; Geographic Information Systems; Loading; Monitoring; Ontologies; Peer to peer computing; Spatial databases; XML; Grid GIS; Grid security; Resource distribution; Super Peer-to-Peer;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoinformatics, 2010 18th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-7301-4

Type

conf

DOI

10.1109/GEOINFORMATICS.2010.5567849

Filename

5567849