An edge computing offloading system based on container-layering is proposed, and the task is divided into several discrete offload able subtasks aiming at the computation-intensive and time-sensitive applications in the IIOT and the resource heterogeneity of edge computing devices. For low offloading latency, a SPMOC-ABC (Seven-Phase and Mutation-andOriginal-Crossover Artificial Bee Colony) algorithm based offloading approach is proposed which include Seven-Phase optimization mechanism and Mutation-and-Original-Crossover updating mechanism. Numerical results demonstrate that the proposed container-layering offloading system can significantly improve the utilization of computing resources, and the SPMOC-ABC based offloading approach can effectively reduce latency.
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