Cluster based modeling and graphical visualization of interactive large spatial data

Rendering and interacting with high-resolution geographical data sets and complex models of virtual geographical space involves high power computation resources in networking environments. The solution of integrating graphics rendering engine applications in cluster based architecture and Grid infrastructure is the main concern of the research reported by this paper. The performance of load balancing is evaluated for various cluster configurations by considering different combinations of distributed rendering algorithms over the graphics cluster and spatial data models. The research studies and experiments as well the flexibility related with the mesh data formats accepted by the graphics renderer, user interaction techniques with complex scenes in the context of graphics cluster rendering, and solutions for data streaming and unit frame encoding. A few use cases of visualization of the virtual geographical model exemplify the achievements.