Adaptive visualization pipeline decomposition and mapping onto computer networks

Mengxia Zhu, Qishi Wu, Nageswara S.V. Rao, S. Sitharama Iyengar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - Third International Conference on Image and Graphics
Pages402-405
Number of pages4
StatePublished - 1 Dec 2004
EventProceedings - Third International Conference on Image and Graphics - Hong Kong, Hong Kong
Duration: 18 Dec 200420 Dec 2004

Publication series

NameProceedings - Third International Conference on Image and Graphics

Other

OtherProceedings - Third International Conference on Image and Graphics
CountryHong Kong
CityHong Kong
Period18/12/0420/12/04

Fingerprint Dive into the research topics of 'Adaptive visualization pipeline decomposition and mapping onto computer networks'. Together they form a unique fingerprint.

  • Cite this

    Zhu, M., Wu, Q., Rao, N. S. V., & Iyengar, S. S. (2004). Adaptive visualization pipeline decomposition and mapping onto computer networks. In Proceedings - Third International Conference on Image and Graphics (pp. 402-405). (Proceedings - Third International Conference on Image and Graphics).