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Efficient data processing with exogeni for the casa dfw urban testbed

机译:使用Exogeni对Casa Dfw Urban测试台进行高效的数据处理

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As the CASA DFW Urban Testbed has evolved from a small, Doppler radar network to an operational system providing user decision support, multi-sensor data, images thereof, and a real time alerting mechanism, it has become necessary to make use of the Compute Cloud to efficiently process and classify products in a timely and cost effective manner. The Global Environment for Network Innovations (GENI), was selected for this purpose and this manuscript shall describe how compute resources are managed to reduce idle time, how networks are configured dynamically to maximize performance, and how diverse products are accumulated and processed to serve the diverse user base in the DFW metroplex. We find that the GENI cloud offers superior networking, resource acquisition speed than several commodity clouds, and hardware performance on par.
机译:随着CASA DFW城市测试平台从小型的多普勒雷达网络发展成为可提供用户决策支持,多传感器数据,其图像以及实时警报机制的操作系统,使用计算云已成为必要及时有效地对产品进行有效的处理和分类。为此选择了全球网络创新环境(GENI),该手稿将描述如何管理计算资源以减少空闲时间,如何动态配置网络以最大限度地提高性能以及如何累积和处理各种产品以服务于网络创新。 DFW大都会中的不同用户群。我们发现,GENI云提供了卓越的联网,比几种商品云更出色的资源获取速度以及同等的硬件性能。

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