边缘服务器与云数据中心的优化部署

Liping Yang, Xudong Wu, Ningxin Liu, Chengzhi Liu
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摘要

在边缘计算中,通常需要边缘服务器覆盖第5代(5G)基站的信号,以保证高传输速率。5G基站与边缘服务器之间的总距离越小,传输速率越快。因此,我们需要研究边缘服务器和云数据中心的优化部署。首先利用聚类分析对5G基站进行聚类,得到集群中心,然后在集群中心部署边缘服务器。其次,采用质心法确定云数据中心的位置。采用肘部和间隙统计方法,研究了部署边缘服务器的最优数量。计算机仿真结果表明,我们的方法为边缘服务器和云数据中心提供了更好的部署位置。
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The Optimal Deployment of Edge Servers and Cloud Data Center
In edge computing, the signal of the 5th generation (5G) base station is often required to be covered by edge servers to guarantee a high transmission rate. And the smaller the total distance between the 5G base stations and the edge servers is, the faster the transmission rate is. Therefore, we need to study the optimal deployment of edge servers and the cloud data center. Firstly, the cluster analysis is used to cluster the 5G base stations and obtain the cluster centers, then the edge servers are deployed in the cluster centers. Secondly, the centroid method is used to determine the location of the cloud data center. By adopting the elbow and gap statistic methods, we also study the optimal number of edge servers to be deployed. Computer simulation results show that our methods provide better deployment locations for the edge servers and the cloud data center.
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