Suitability-based Edge Server Placement Strategy in 5G Ultra-dense Networks
Bo Li, Yuhao Shi, Yuan Ye · 2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD) · 2022
The emergence of edge computing has greatly improved the computing and storage capabilities of mobile terminals and IoT devices. However, most of the current research in the edge computing field focuses on computing offloading, resource allocation, and computing migration, and there is very little research on the placement of edge servers. To address the problem of edge server placement, we have proposed an edge server placement algorithm (MRT) based on the suitability evaluation of access points in the 5G ultra-dense network environment. The algorithm first uses the analytic hierarchy process (AHP) and the entropy weight method to evaluate the suitability of each access point based on characteristic indicators to determine whether the access point is suitable for placing edge servers. Then, according to the suitability evaluation results, the solution space of the edge server placement is reduced, and the optimal solution for the edge server is found in the reduced solution space through the tabu search method. Sufficient experimental results show that the proposed MRT algorithm can effectively reduce the average response delay of computing tasks, and the algorithm performance is better than other typical placement algorithms.