A Load Balancing-Based Container Migration Mechanism in the Smart Grid Cloud Platform

The demand for computing and storage resources in the smart grid cloud platform varies greatly due to the uneven geographical distribution of IoT devices, resulting in significant differences in the load rates of different edge nodes. To address this issue, container technology, with its lightweight and portable characteristics, enables dynamic allocation and scheduling of tasks in nodes, thereby achieving load balancing in the utilization of node resources. This article proposes a two-level power cloud computing resource management structure that can achieve local execution of computing tasks and reduce time delays. At the same time, we propose a two-level node container migration strategy based on ant colony algorithm to solve the problem of failing to ensure the successful completion of tasks due to limited local node resources. The simulation results show that the cloud container migration mechanism designed in this paper exhibits excellent performance in terms of task processing time, waiting delay, and load balancing in the smart grid cloud platform.