Cluster Based Modeling and Remote Visualization of Virtual Geographical Space

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.