作者：Feng Liu, Lei Shi, Juan Xu, Xu Ding, Yuqi Fan, Zhehao Li

发表刊物：WiseML 2024

年份：May 2024

摘要：In the field of wireless communications, edge computing (EC) is widely used, with cost and security closely related in such systems. Lowering system costs can provide additional budget for enhancing security measures. Additionally, the selection of edge server locations and service deployment are two crucial steps in building an EC platform. In this paper, we jointly consider these two problems and aim to minimize the system cost while handling all user requests. To solve this problem, we propose a heuristic algorithm where an improved particle swarm optimization algorithm is employed to solve the server deployment problem, and a knapsack-based algorithm is used to address the service deployment and request allocation problem. Simulation results show that our algorithm has achieved an average cost reduction of approximately 54.3%, 30.6%, and 15.5% compared to Random, Greedy, and PSO+Greedy, respectively.

参考文献拷贝字段：Feng Liu, Lei Shi, Juan Xu, Xu Ding, Yuqi Fan, Zhehao Li. Cost Minimization for Joint Server and Service Deployment in Edge Computing [C].In Proceedings of the 2024 ACM Workshop on Wireless Security and MachineLearning (WiseML ’24), May 31, 2024, Seoul, Republic of Korea. ACM, NewYork, NY, USA, 6 pages. https://doi.org/10.1145/3649403.3656487