Comparison of remote visualization strategies for interactive exploration of large data sets
Lori A. Freitag, R. M. Loy · 2005
We compare three remote visualization strategies used for interactive exploration of large data sets: image-based rendering, parallel visualization servers, and subsampling. We review each strategy and provide details for an adaptive multiresolution subsampling technique that we have developed. To determine the problem regimes for which each approach is most cost effective, we develop performance models to analyze the costs of computation and communication associated with the common visualization task of isosurface generation. Using these models, we investigate a number of hardware system configurations and task complexity scenarios when parameterssuch as problem size, visualization demands, and network bandwidth change. For one particular strategy, subsampling, we further investigate the tradeoffs between multiresolution and uniform grid methods in terms of performance and approximation errors. Keywords: Remote Visualization, Interactive Visualization, Large Data Set Exploration, Perf...