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Grid Computing and its Application to Geoinformatics

Grid Computing and its Application to Geoinformatics
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Author(s): Aijun Chen (George Mason University, USA), Liping Di (George Mason University, USA), Yuqi Bai (George Mason University, USA) and Yaxing Wei (George Mason University, USA)
Copyright: 2009
Pages: 9
Source title: Handbook of Research on Geoinformatics
Source Author(s)/Editor(s): Hassan A. Karimi (University of Pittsburgh, USA)
DOI: 10.4018/978-1-59140-995-3.ch027

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Abstract

The definition of the Grid computing and its application to geoinformatics are introduced. Not only the comparison of power Grid and computing Grid is illustrated, also Web technology and Grid technology are compared. The Hourglass Model of Grid architecture is depicted. The layered Grid architecture, relating to Internet protocol architecture, consists of the fabric (computer, storage, switches, etc.) layer, connectivity layer, resource layer, collective layer, and application layer. Grid computing has been applied to many disciplines and research areas, such as physics, Earth science, astronomy, bioinformatics, etc. By applying the Grid computing to Open Geospatial Consortium, Inc.’s Web services and geospatial standards from International Organization for Standardization, US Federal Geographic Data Committee and US NASA, a geospatial Grid is proposed here, which consisting of Grid-managed geospatial data and Grid-enabled geospatial services.

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