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Multiuser-centered resource scheduling for collaborative display wall environments

机译：用于协作显示墙环境的以多用户为中心的资源调度

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摘要

The popularity of large-scale, high-resolution display walls, as visualization endpoints in eScience infrastructure, is rapidly growing. These displays can be connected to distributed computing resources over high-speed network, providing effective means for researchers to visualize, interact with, and understand large volumes of datasets. Typically large display walls are built by tiling multiple physical displays together and running a tiled display wall required a cluster of computers. With the advent of advanced graphics hardware, a single computer can now drive over a dozen displays, thereby greatly reducing the cost of ownership and maintenance of a tiled display wall system. This in turn enables a broader user base to take advantage of such technologies. Since tiled display walls are also well suited to collaborative work, users tend to launch and operate multiple applications simultaneously. To ensure that applications maintain a high degree of responsiveness to the users even under heavy use loads, the display wall must now ensure that the limited system resources are prioritized to maximize interactivity rather than thread-level fair sharing or overall job-completion throughput. In this paper, we present a new resource scheduling scheme that is specifically designed to prioritize responsiveness in collaborative large display wall environments where multiple users can interact with multiple applications simultaneously. We evaluate our scheduling scheme with a user study involving groups of users interacting simultaneously on a tiled display wall with multiple applications. Results show that our scheduling framework provided a higher frame-rate for applications, which led to a significantly higher user performance (approx. 25%) in a target acquisition test when compared against traditional operating system scheduling scheme.
机译：作为eScience基础架构中的可视化端点，大规模，高分辨率的显示墙正迅速普及。这些显示可以通过高速网络连接到分布式计算资源，为研究人员提供可视化，与大量数据集交互和理解的有效手段。通常，大型显示墙是通过将多个物理显示器平铺在一起并运行需要一堆计算机的平铺显示墙来构建的。随着高级图形硬件的出现，一台计算机现在可以驱动十几个显示器，从而大大降低了平铺显示墙系统的拥有成本和维护成本。反过来，这使得更广泛的用户群可以利用这些技术。由于平铺的显示墙也非常适合协作工作，因此用户倾向于同时启动和操作多个应用程序。为了确保即使在繁重的使用负载下，应用程序也可以对用户保持高度的响应能力，显示屏墙现在必须确保对有限的系统资源进行优先级排序以最大化交互性，而不是线程级公平共享或整体工作完成吞吐量。在本文中，我们提出了一种新的资源调度方案，该方案专门设计用于在协作大型显示墙环境中确定响应优先级，在该环境中，多个用户可以同时与多个应用程序进行交互。我们通过一项用户研究评估我们的调度方案，该研究涉及在多个应用程序的平铺显示墙上同时交互的用户组。结果表明，与传统的操作系统调度方案相比，我们的调度框架为应用程序提供了更高的帧速率，从而在目标获取测试中显着提高了用户性能（约25％）。

著录项

  • 来源
    《Future generation computer systems》 |2015年第4期|162-175|共14页
  • 作者

    Sungwon Nam; Khairi Reda; Luc Renambot; Andrew Johnson; Jason Leigh;

  • 作者单位

    Electronic Visualization Laboratory, 842 W. Taylor St., Chicago, 1L 60607, United States;

    Electronic Visualization Laboratory, 842 W. Taylor St., Chicago, 1L 60607, United States;

    Electronic Visualization Laboratory, 842 W. Taylor St., Chicago, 1L 60607, United States;

    Electronic Visualization Laboratory, 842 W. Taylor St., Chicago, 1L 60607, United States;

    Electronic Visualization Laboratory, 842 W. Taylor St., Chicago, 1L 60607, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Scheduling; Human factors; Algorithms; Interactive systems; Distributed graphics;

    机译：排程;人为因素;算法;互动系统;分布式图形;

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