摘要

The cloud-edge collaborative system can support the elastic expansion of computing resources and adapt to the needs of power distribution Internet of Things technology. Aiming at the computing resource configuration problem of cloud-edge collaborative system, the computing resources of the cloud-edge collaborative system are described, the computing business model is established, and the business timeout coefficient of batch computing business is proposed to evaluate the system effect quantitatively. Based on the above models, a dual-objective programming model for optimization configuration of computing resources considering cloud-edge interaction is established with the goals of minimizing the system overhead and minimizing the business timeout coefficient. The Pareto frontier is obtained by using the improved differential evolution algorithm. Based on the simulation examples, the influence of different dual-objective processing methods, communication quality and concurrent business size on the proposed computing resource configuration method is discussed. ? 2024 Electric Power Automation Equipment Press.

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