K-means Based Edge Server Deployment Algorithm for Edge Computing Environments

被引：20
|
作者：
Li, Bo [1 ]
Wang, Keyue [1 ]
Xue, Duan [1 ]
Pei, Yijian [1 ]
机构：
[1] Yunnan Univ, Sch Informat Sci & Engn, Kunming 650091, Yunnan, Peoples R China
来源：
2018 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI) | 2018年
基金：
美国国家科学基金会;
关键词：
mobile edge computing; K-means; edge server deployment algorithm; MOBILE; CLOUDLETS;
D O I：
10.1109/SmartWorld.2018.00203
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In mobile edge computing environments, edge servers are deployed at the edge of the network to provide low-latency and high-bandwidth services for mobile terminals. This paper proposed a k-means based algorithm for deploying edge servers, compared the performance of this algorithm on the average completion time of the system with the random deployment algorithm and the density based clustering algorithm. Experimental results show that the k-means based algorithm is effective for deploying edge servers.
引用
收藏
页码：1169 / 1174
页数：6
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