A novel edge computing optimization method based on multi-objective optimization theory

The continuous growth of large-scale applications of the Internet of Things (IOT) stimulates more demand for edge computing, and more and more IoT devices require edge computing. Such a large-scale node will cause the problem of excessive load pressure on the computing center. In this paper, an edge computing optimization algorithm based on a multi-objective optimization algorithm (ECO-MO) is proposed. In this algorithm, the objective functions are considered in some constrained conditions. this algorithm achieves comprehensive optimization of computing resource utilization, storage utilization, remaining power. Experiments show that this method is effective.