Demo: Managing Sensing Resources at the Edge using Cloud OSes

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. We posit that Cloud OSes can be extended to manage the sensing resources along with the computing resources at the network edge. 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 in data centers and the resources at the network edge. Specifically, such a hybrid cloud setup can also be useful in augmenting the computational resources in private and public clouds with their counterparts in the network edge.