IoT Edge Computing System Architecture and Its Application

As the number of devices connected to the Internet of Things (IoT) increases, the amount of data explodes. It therefore not only increases the bandwidth load for data transfer but also increases the computer load and storage of the cloud platform. At the same time, the standard computer paradigm-focused computer cloud cannot meet real-time requirements in most application situations. The emergence of edge computing can solve real-time data processing problems and network bandwidth activity in the current IoT environment. In this paper, based on IoT features, such as split data, multi-network, and limited power consumption, the edge-of-the-line computer system IoT is designed to better adapt to the IoT environment. Additionally, the use of critical cutting edge computer technologies such as virtualization, edge intelligence, computer outsourcing, collaborative editing and minimal services in IoT-downtime applications are explored in detail. Finally, the functions and applications of monitoring power consumption and efficiency in a central air-conditioning system are analyzed and summarized, which is a common edge computing system in the IoT context.