Implementation of an Edge Computing Architecture Using OpenStack and Kubernetes

In the application of the Internet of Things (IoT), all data is stored in the cloud, that causes the long distance of the network logic between the cloud and the device side or client side, this might leads to network delay or slow response time. A challenging issue is how to increase the speed of response time in the cloud computing and the IoT environment for clients. In this paper, we propose a complete set of Edge Computing architecture. There are three layers, namely, Cloud side, Edge side, and Device side. Cloud side mainly deals with more complicated operations and data backup. For overall system infrastructure, we deployed Kubernetes cluster on an OpenStack platform. Edge side optimizes the service of cloud computing systems by performing data processing at the edge of the network. In this phase, we created an Edge Gateway to increase the capacity and performance and reduce the communications bandwidth needed between sensors and the central data.