A Priority-based Online Container Placement Strategy for 5G MEC Cloud enabled Smart Grid
Jing Jiang, Peizhe Xin, Yudong Wang, Yi Zhang · 2022
As the rising of computation-intensive applications, such as AI-enabled monitoring, real-time video analysis, lower latency is required by the smart grid. Mobile edge computing (MEC) cloud of 5G, which has the advantages of edge computing and cloud computing, is a promising technology to solve the latency problem through local task computing. However, considering the various requirements of the applications in smart grid, the resource utilization efficiency of MEC cloud is largely restricted to the containers with low flexibility and scalability. In this circumstances, we study the container placement strategy for 5G MEC cloud enabled Smart Grid. Within this strategy, we firstly formulate a latency optimization problem, where the applications are classified to different priorities. And then, We use the algorithm CVH, which combines vertical resizing and horizontal scaling, to figure out the appropriate edge nodes for the container and match the variability of the application QoS. Finally, we simulate our proposed strategy and demonstrate that the proposed algorithm performs better in terms of response time compared to various other baselines.