Adaptive Visualization Pipeline Decomposition and Mapping onto Computer Networks

Authors:
Mengxia Zhu;Qishi Wu;Nageswara S. V. Rao;S. Sitharama Iyengar
Affiliations:
Louisiana State University;Oak Ridge National Laboratory;Oak Ridge National Laboratory;Louisiana State University
Venue:
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
Year:
2004

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Abstract

This paper discusses algorithmic and implementation aspects of a remote visualization system, which adaptively 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.