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Client + Cloud: Evaluating Seamless Architectures for Visual Data Analytics in the Ocean Sciences

机译：客户端+云：评估海洋科学中可视数据分析的无缝架构

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摘要

Science is becoming data-intensive, requiring new software architectures that can exploit resources at all scales: local GPUs for interactive visualization, server-side multi-core machines with fast processors and large memories, and scalable, pay-as-you-go cloud resources. Architectures that seamlessly and flexibly exploit all three platforms are largely unexplored. Informed by a long-term collaboration with ocean scientists, we articulate a suite of representative visual data analytics workflows and use them to design and implement a multi-tier immersive visualization system. We then analyze a variety of candidate architectures spanning all three platforms, articulate their tradeoffs and requirements, and evaluate their performance. We conclude that although "pushing the computation to the data" is generally the optimal strategy, no one single architecture is optimal in all cases and client-side processing cannot be made obsolete by cloud computing. Rather, rich visual data analytics applications benefit from access to a variety of cross-scale, seamless "client + cloud" architectures.
机译：科学正在变得数据密集型，需要新的软件架构来利用各种规模的资源：用于交互式可视化的本地GPU，具有快速处理器和大内存的服务器端多核计算机以及可扩展的按需付费的云资源。无缝和灵活地利用这三个平台的架构在很大程度上尚未得到开发。通过与海洋科学家的长期合作，我们阐明了一套具有代表性的视觉数据分析工作流程，并使用它们来设计和实施多层沉浸式可视化系统。然后，我们分析跨越所有三个平台的各种候选架构，阐明它们的权衡和要求，并评估其性能。我们得出的结论是，尽管“将计算推送到数据”通常是最佳策略，但是在所有情况下，没有一个架构是最佳的，并且云计算无法使客户端处理过时。而是，丰富的可视数据分析应用程序可从对各种跨规模，无缝的“客户端+云”架构的访问中受益。

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  • 来源
  • 会议地点 Heidelberg(DE);Heidelberg(DE)
  • 作者

    Keith Grochow; Bill Howe; Mark Stoermer; Roger Barga; Ed Lazowska;

  • 作者单位

    University of Washington, Computer Science Department, Seattle, Washington, USA 98195;

    University of Washington, Computer Science Department, Seattle, Washington, USA 98195;

    Center for Environmental Visualization, Ocean Sciences Building, 1492 N.E. Boat Street, Seattle, Washington, USA 98195;

    Microsoft Research, Microsoft Corporation PO Box 91017, Redmond, WA, USA, 98073;

    University of Washington, Computer Science Department, Seattle, Washington, USA 98195;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 TP311.13;
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