面向新型电力系统的边缘缓存与计算资源迁移策略

随着以新能源为主体的电力系统的发展，分布式特征明显，终端设备数量剧增。海量用电负荷的调度和控制面临着时延过高和计算效率不足等问题，亟待建立高效的通信网络以有效提高电力系统的运行效率和可靠性。针对现有边缘计算技术与电力系统结合中未考虑在边缘网络资源管理中服务缓存和虑拟机(virtual machine, VM)迁移的联合优化问题，基于任务卸载模型、服务缓存模型和VM迁移模型，提出了一种联合服务缓存和VM迁移的边缘资源分配策略，旨在提高系统性能。针对服务缓存与VM迁移联合优化的耦合性问题，将原问题解耦成两个子问题的方法进行迭代求解，以实现更优的资源分配效果。仿真结果进一步证明了所提策略在性能方面表现更优，与其他方案相比可以得到更低的任务处理时延。

Edge cache and computing resource migration strategy for new power systems

With the development of power systems with new energy as the main body, the characteristics of distribution are obvious, and the amount of terminal equipment increases sharply. The scheduling and control of massive power loads are faced with problems such as high delay and insufficient computing efficiency, and so it is urgent to establish an efficient communication network to effectively improve the operating efficiency and reliability of the power system. There is a joint optimization problem of service cache and VM migration in an edge network resource management that is not considered in existing edge computing technology combined with a power system. Thus this paper proposes an edge resource allocation strategy based on task unload, service cache and VM migration models to improve system performance. As for the coupling problem of service caching and VM migration, the original problem is decoupled into two sub-problems to achieve better resource allocation. The simulation results further prove that the proposed strategy has better performance and lower task processing delay than other schemes.