Cluster Based Modeling and Remote Visualization of Virtual Geographical Space

Author

Bacu, Victor ; Muresan, Lucian ; Gorgan, Dorian

Author_Institution

Comput. Sci. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania

fYear

2008

fDate

26-29 Sept. 2008

Firstpage

416

Lastpage

421

Abstract

The graphical modeling and visualization of the virtual geographical space require high power computation and distributed massive spatial databases. The paper presents a few experiments on the solutions supported by the Chromium graphics cluster to provide fast distributed processing and remote visualization. The performance is evaluated for various cluster configurations and spatial data models. The research concerns as well with accessing the cluster based processing by Web applications through grid and Web services.

Keywords

Web services; data visualisation; geography; grid computing; virtual reality; visual databases; Chromium graphics cluster; Web services; cluster based modeling; cluster configurations; distributed massive spatial databases; distributed processing; remote visualization; spatial data models; virtual geographical space; Chromium; Data models; Data visualization; Distributed computing; Distributed databases; Distributed processing; Graphics; Spatial databases; Visual databases; Web services; Cluster; Remote Visualization; Virtual Geographical Space;

fLanguage

English

Publisher

ieee

Conference_Titel

Symbolic and Numeric Algorithms for Scientific Computing, 2008. SYNASC '08. 10th International Symposium on

Conference_Location

Timisoara

Print_ISBN

978-0-7695-3523-4

Type

conf

DOI

10.1109/SYNASC.2008.54

Filename

5204848