TY - GEN
T1 - Adaptive visualization pipeline decomposition and mapping onto computer networks
AU - Zhu, Mengxia
AU - Wu, Qishi
AU - Rao, Nageswara S.V.
AU - Iyengar, S. Sitharama
PY - 2004
Y1 - 2004
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/17044381610
U2 - 10.1109/ICIG.2004.81
DO - 10.1109/ICIG.2004.81
M3 - Conference contribution
AN - SCOPUS:17044381610
SN - 0769522440
SN - 9780769522449
T3 - Proceedings - Third International Conference on Image and Graphics
SP - 402
EP - 405
BT - Proceedings - Third International Conference on Image and Graphics
PB - IEEE Computer Society
T2 - 3rd International Conference on Image and Graphics, ICIG 2004
Y2 - 18 December 2004 through 20 December 2004
ER -