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Demo: Managing Sensing Resources at the Edge using Cloud OSes

机译:演示:使用云操作系统在边缘管理传感资源

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Environmental sensing is an important use case for edge computing and mobile networks. Specifically, edge computing approaches and mobile networks are expected to be used by sensing applications to collect data from fixed environment monitoring stations along with the sensors mounted on mobile sensing platforms. These mobile sensing platforms are in turn expected to leverage micro-servers such as Raspberry Pis for collecting the data, performing some initial computation, and disseminating their results for further processing. In this demonstration we show that OpenStack can be used to manage containers on Rasperry Pis. This setup enables a) micro-servers at the network edge to support multitenancy like their counterparts in data centers, and b) Cloud OSes to manage the resources at the network edge along with the resources in data centers. Specifically, such a hybrid cloud setup can be useful in augmenting the computational resources in private and public clouds with their counterparts in the network edge.
机译:环境感测是边缘计算和移动网络的重要用例。具体而言,预计传感应用将使用边缘计算方法和移动网络从固定环境监视站以及安装在移动传感平台上的传感器中收集数据。预计这些移动传感平台将利用Raspberry Pis等微型服务器来收集数据,执行一些初始计算并分发其结果以进行进一步处理。在此演示中,我们展示了OpenStack可用于管理Rasperry Pis上的容器。此设置使a)网络边缘的微型服务器能够像数据中心中的对等服务器一样支持多租户,并且b)云OS可以管理网络边缘的资源以及数据中心中的资源。具体来说,这种混合云设置可用于在私有云和公共云中以及在网络边缘中的对应云中增加计算资源。

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