Tutorial: Edge Computing for Mobile Internet of Things

Abstract

Internet of things (IoT) has emerged as the enabling technology for smart applications in different domains, such as transportation, health-care, industry, smart homes and buildings, and education (e.g., [1-5]). IoT applications rely on the deployment of resourceconstrained devices that collect data from the environment it is immersed and control events of interest through actuators. One of the daunting challenges in many IoT applications is the need for the real-time processing of a large amount of produced data. Such processing is often impractical to be performed at the IoT devices, due to their resource-constrained nature and the incurred energy cost. In this regard, IoT data is often offloaded to be processed on distant powerful cloud servers, which return to IoT devices as the result of the heavy computations. This approach is well-suited for computation-intensive tasks in IoT applications. However, the process of task offloading to cloud servers incurs additional delays for the IoT application, in addition to the network overhead.