Adaptive Visualization Pipeline Decomposition and Mapping Onto Computer Networks
This paper discusses algorithmic and implementation aspects of a remote visualization system, which adoptively decomposes and maps the visualization pipeline onto a wide-area network. Visualization pipeline modules such as filtering, geometry extraction, rendering, and display are dynamically assigned to network nodes to achieve minimal total delay or maximal frame rate. Polynomial-time optimal algorithms using the dynamic programming method to compute the optimal decomposition and mapping are proposed. We implemented an OpenGL-based remote visualization system. We evaluated its performance using a deployment at three geographically distributed nodes.
MSU Digital Commons Citation
Zhu, Michelle; Wu, Qishi; Rao, Nageswara S.V.; and Iyengar, S. Sitharama, "Adaptive Visualization Pipeline Decomposition and Mapping Onto Computer Networks" (2004). Department of Computer Science Faculty Scholarship and Creative Works. 89.