计算机科学
移动边缘计算
云计算
GSM演进的增强数据速率
分布式计算
边缘计算
虚拟机
移动计算
移动云计算
延迟(音频)
复制品
聚类分析
计算机网络
操作系统
人工智能
视觉艺术
艺术
电信
作者
Lei Zhao,Jiajia Liu,Yongpeng Shi,Wen Sun,Hongzhi Guo
标识
DOI:10.1109/glocom.2017.8254084
摘要
Mobile edge computing (MEC), as an extension of the cloud computing paradigm to the edge network, is a promising solution to provide resource-intensive and time-critical applications to mobile users. It overcomes some obstacles of traditional mobile cloud computing by offering ultra-short latency and less core network traffic. This paper proposes a new framework based on the architecture of MEC to deliver cloud services to the edge. We introduce enumeration based optimal placement algorithm (EOPA) and divide-and- conquer based near-optimal placement algorithm (DCNOPA) to attain minimal data traffic by distributing virtual machine replica copies (VRCs) of applications to the edge network. Simulation results show that compared to the famous K-medians clustering algorithm (KMCA), the performance of DCNOPA is much closer to that of EOPA with lower computational complexity. Furthermore, we investigate the optimal number of VRCs within a given limitation of benefit-to-cost ratio.
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