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

2004 IEEE International Conference on Cluster Computing (IEEE Cat. No.04EX935) Pub Date : 2004-09-20 DOI:10.1109/CLUSTR.2004.1392638

Rajvikram Singh, Byungil Jeong, L. Renambot, Andrew E. Johnson, J. Leigh

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引用次数: 36

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.

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TeraVision:一个分布式的、可扩展的、高分辨率的图形流系统

在涉及科学数据的电子媒介远程协作中，通常需要将单个计算机或整个可视化集群的图形输出流式传输到远程显示器。这项工作将TeraVision作为一种可扩展的平台独立解决方案，能够在单个工作站和/或集群之间传输多个同步的高分辨率视频流，而无需对源或目标机器进行任何修改。解决的问题包括:如何同步单个视频流以形成单个更大的视频流;如何缩放和路由由M/spl times/N节点数组生成的流，以适应X/spl times/Y显示;以及电视如何利用各种传输协议。本文介绍了在千兆局域网和广域网(芝加哥和阿姆斯特丹之间)上进行的实验结果。最后，我们提出了可伸缩自适应图形环境(SAGE)——一种支持未来具有数十亿像素的协作可视化环境的架构。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2004 IEEE International Conference on Cluster Computing (IEEE Cat. No.04EX935)

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