Demo: Managing Sensing Resources at the Edge using Cloud OSes

L. Osmani, Ashwin Rao, Samu Varjonen, Eemil Lagerspetz, H. Flinck, S. Tarkoma
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Abstract

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.
演示:使用云操作系统管理边缘感知资源
环境感知是边缘计算和移动网络的重要用例。具体来说,边缘计算方法和移动网络预计将被传感应用用于从固定环境监测站以及安装在移动传感平台上的传感器收集数据。这些移动传感平台反过来有望利用诸如Raspberry Pis之类的微型服务器来收集数据,执行一些初始计算,并传播其结果以进行进一步处理。在这个演示中,我们展示了OpenStack可以用来管理Rasperry Pis上的容器。这种设置使a)网络边缘的微型服务器能够支持多租户,就像它们在数据中心中的对应服务器一样;b)云操作系统能够管理网络边缘的资源以及数据中心中的资源。具体地说,这种混合云设置可以用于在私有云和公共云中与网络边缘中的对应云增加计算资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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