Distributed and collaborative visualization of large data sets using high-speed networks

被引：18
|
作者：
Hutanu, Andrei
Allen, Gabrielle
Beck, Stephen D.
Holub, Petr
Kaiser, Hartmut
Kulshrestha, Archit
Liska, Milos
MacLaren, Jon
Matyska, Ludek
Paruchuri, Ravi
Pkohaska, Steffen
Seidel, Ed
Ullmer, Brygg
Venkataraman, Shalini
机构：
[1] Louisiana State Univ, Ctr Computat & Technol, Baton Rouge, LA 70803 USA
[2] CESNET, Prague 16200, Czech Republic
[3] Masaryk Univ, Brno 62100, Czech Republic
[4] Zuse Inst Berlin, D-14195 Berlin, Germany
来源：
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2006年 / 22卷 / 08期
关键词：
collaborative visualization; distributed applications; co-scheduling; interaction devices; video conferencing;
D O I：
10.1016/j.future.2006.03.026
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
We describe an architecture for distributed collaborative visualization that integrates video conferencing, distributed data management and grid technologies as well as tangible interaction devices for visualization. High-speed, low-latency optical networks support high-quality collaborative interaction and remote visualization of large data. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码：1004 / 1010
页数：7
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