TeraVision: a distributed, scalable, high resolution graphics streaming system

  • Authors:
  • R. Singh;Byungil Jeong;L. Renambot;A. Johnson;J. Leigh

  • Affiliations:
  • Electron. Visualization Lab., Illinois Univ., Chicago, IL, USA;Electron. Visualization Lab., Illinois Univ., Chicago, IL, USA;Electron. Visualization Lab., Illinois Univ., Chicago, IL, USA;Electron. Visualization Lab., Illinois Univ., Chicago, IL, USA;Electron. Visualization Lab., Illinois Univ., Chicago, IL, USA

  • Venue:
  • CLUSTER '04 Proceedings of the 2004 IEEE International Conference on Cluster Computing
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

In electronically mediated distance collaborations involving scientific data, there is often the need to stream the graphical output of individual computers or entire visualization clusters to remote displays. This work presents TeraVision as a scalable platform-independent solution which is capable of transmitting multiple synchronized high-resolution video streams between single workstations and/or clusters without requiring any modifications to be made to the source or destination machines. Issues addressed include: how to synchronize individual video streams to form a single larger stream; how to scale and route streams generated by an array of M/spl times/N nodes to fit a X/spl times/Y display; and how TeraVision exploits a variety of transport protocols. Results from experiments conducted over gigabit local-area networks and wide-area networks (between Chicago and Amsterdam), are presented. Finally, we propose the scalable adaptive graphics environment (SAGE) - an architecture to support future collaborative visualization environments with potentially billions of pixels.