利用网络实现可视化和协作:没有网络障碍?

T. Rhyne, George H. Brett, D. Brutzman, D. Cox, Adelino Santos
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引用次数: 2

摘要

并利用高速网络、多媒体和交互式计算机图形技术进行协作。研究人员、程序员和艺术家(即文艺复兴团队)为使用新的国家信息基础设施(NII)和国际电信系统所做的努力。强调了支持跨异质平台协作可视化的软件工具,用于研究、教育和商业目的。协作计算包括促进位于不同远程站点的研究人员之间的信息发现和科学可视化活动。它包括在高速网络环境中使用可视化和信息检索。计算资源可以通过网络环境透明地提供给研究人员,这就产生了元计算机。一些合作涉及专注于解决单个问题的跨学科团队,而另一些合作则包含共享不同的方法和对类似问题的最终解决方案。与这些高速网络协作相关的积极方面集中在地理上远程研究或Renaissance团队之间的实时可视化和信息发现。与元计算相关的负面影响或障碍也存在。网络传输的困难和桌面工作站架构的差异会影响两个合作研究人员同时观看和指导的实际可视化。设置和学习使用元计算基础设施可能非常耗时,因此需要重新关注基础教育或科学发现过程。小组成员就这些问题的不同观点进行了辩论。
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Exploiting networks for visualization and collaboration: no network roadblocks?
and collaboration using high speed networking, multimedia and interactive computer graphics techniques. Efforts among researchers, programmers, and artists (i.e. Renissance Teams) to use the new National Information Infrastructure (NII) as well as international telecommunication systems are featured. Software tools which support collaborative visualization across heterogenous platforms for research, education and commerical purposes are highlighted. Collaborative computing involves facilitating information discovery and scientific visualization activities between researchers located at various remote sites. It includes the use of visualization and information retrieval in a high speed networked environment. Computing resources become transparently available to researchers via the networked environment and this results in a metacomputer. Some collaborations involve interdisciplinary teams focused on solving a single problem while others encompass the sharing of different methodologies and resulting solutions to similar problems. Positive aspects associated with these high speed networked collaborations center on real time visualization and information discovery among geographically remote research or Renaissance Teams. There are also negative impacts or roadblocks associated with metacomputing. Network transmission difficulties and differences in desktop workstation architectures can cloud the actual visualization two collaborating researchers are simultaneously viewing and steering. Setting up and learning to use the metacomputing infrastructure can be all consuming and thus refocus the basic education or scientific discovery process. Various perspectives on these concerns are debated by the panelists.
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