Title :
Data Management in Structural Engineering Experiment Grid
Author :
Zhang, Xiaohui ; Di, Ruihua ; Weng, ZiJun
Author_Institution :
Sch. of Comput. Sci., Beijing Univ. of Technol., Beijing, China
Abstract :
In Structural Engineering Experiment Grid (SEEGrid), there are huge amounts of heterogeneous data distributed in different experimental sites. This paper summarizes a conceptual model of the experimental data, and based on this conceptual model, Structural Engineering Experimental Data Management Framework (SEEDMF) is proposed to manage the structured data and unstructured. In addition, the heterogeneity of structured data, which can be overcome by SEEDMF, is discussed in detail. Finally, the portal of Engineering Experimental Data Management System(SEEDMS) which is a part of SEE-Grid is demonstrated.
Keywords :
data handling; data structures; grid computing; structural engineering computing; SEEDMF; SEEGrid; data management; data structure; structural engineering experiment grid; structural engineering experimental data management framework; Authentication; Data models; Distributed databases; Portals; Structural engineering; XML; data management; grid; structural engineering;
Conference_Titel :
ChinaGrid Conference (ChinaGrid), 2010 Fifth Annual
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-7543-8
Electronic_ISBN :
978-1-4244-7544-5
DOI :
10.1109/ChinaGrid.2010.33
