Physical Sciences and Mathematics Commons^™

Optimal Pipeline Decomposition And Adaptive Network Mapping To Support Distributed Remote Visualization, Michelle Zhu, Qishi Wu, Nageswara S.V. Rao, Sitharama Iyengar

Department of Computer Science Faculty Scholarship and Creative Works

This paper discusses algorithmic and implementation aspects of a distributed remote visualization system that optimally decomposes and adaptively maps the visualization pipeline to a wide-area shared or dedicated network. The first node of the system typically generates or stores raw data sets, and a remote client resides on the last node equipped with a display device ranging from a personal desktop to a powerwall. Intermediate nodes include workstations, clusters, or rendering engines, which can be located anywhere on the network. We employ a regression method to estimate the effective bandwidth of a transport path. Based on link measurements, node characteristics, …