The application of edge clouds is becoming more and more widespread. The resource optimization is one of the important research contents of edge cloud. Generally, the edge cloud has limited computing resources and energy. Resource optimization can make tasks perform efficiently and reduce costs. Therefore, achieving high energy efficiency while ensuring a satisfying user experience is critical. This paper proposes the resource optimization and load balancing model. By considering factors such as user preferences, SLA and cost, the algorithm of resource optimization determines the resources scheme of edge cloud. The data movement after resource optimization is achieved through migration strategies. The load balancing of the edge cloud environment can be ensured. The results of the experiment prove that our proposed algorithm can better control costs.

边缘云的应用越来越广泛。资源优化是边缘云的重要研究内容之一。通常，边缘云的计算资源和资源有限。资源优化可以使任务高效执行并降低成本。因此，在确保令人满意的用户体验的同时实现高能效至关重要。本文提出了资源优化和负载均衡模型。通过考虑用户偏好，SLA和成本等因素，资源优化算法确定了边缘云的资源方案。资源优化后的数据移动是通过迁移策略实现的。可以保证边缘云环境的负载均衡。