计算机科学
移动边缘计算
云计算
分布式计算
服务器
GSM演进的增强数据速率
边缘计算
启发式
钥匙(锁)
整数规划
计算
数据中心
组分(热力学)
计算机网络
算法
操作系统
电信
物理
人工智能
热力学
作者
Tayebeh Bahreini,Daniel Grosu
出处
期刊:Information Security
日期:2017-10-12
被引量:63
标识
DOI:10.1145/3132211.3134454
摘要
Mobile Edge Computing (MEC) is a new paradigm which has been introduced to solve the inefficiencies of mobile cloud computing technologies. The key idea behind MEC is to enhance the capabilities of mobile devices by forwarding the computation of applications to the edge of the network instead of to a cloud data-center. One of the main challenges in MEC is determining an efficient placement of the components of a mobile application on the edge servers that minimizes the cost incurred when running the application. In this paper, we address the problem of multi-component application placement in edge computing by designing an efficient heuristic on-line algorithm that solves it. We also present a Mixed Integer Linear Programming formulation of the multi-component application placement problem that takes into account the dynamic nature of users' location and the network capabilities. We perform extensive experiments to evaluate the performance of the proposed algorithm. Experimental results indicate that the proposed algorithm has very small execution time and obtains near optimal solutions.
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