Intelligent Deployment of Dedicated Servers: Rebalancing the Computing Resource in IoT

The applications in Internet of Things (IoT), which are increasingly diversified and complicated, are burdening ever-more higher computing requirements on the IoT devices. However, these devices are mostly lightweight nodes with limited computing resources. Some access points, such as the sinks or gateways, can alleviate the computing burden of the lightweight nodes with the assistance of computation offloading, e.g., edge computing or fog computing. Whereas, this is mostly limited by the location, computing power, and quantity of such access points. An emerging method to solve this issue is to deploy appropriate servers to provide computing service in the network, since it is impossible to upgrade all lightweight nodes into resource-rich nodes. In this paper, we propose an intelligent deployment of the computing servers (IDCS) based on a genetic algorithm, which can achieve optimized latency and load balance in deploying the computing servers to form hybrid computing service providers in the IoT network. Extensive simulations show that IDCS can outperforms traditional schemes considerably in aspects of both latency and load balance.