System modelling and performance evaluation of a three-tier Cloud of Things

被引:89
作者
Li, Wei [1 ]
Santos, Igor [2 ]
Delicato, Flavia C. [2 ]
Pires, Paulo F. [2 ]
Pirmez, Luci [2 ]
Wei, Wei [3 ]
Song, Houbing [4 ]
Zomaya, Albert [1 ]
Khan, Samee [5 ]
机构
[1] Univ Sydney, Sch Informat Technol, Ctr Distributed & High Performance Comp, Sydney, NSW 2006, Australia
[2] Univ Fed Rio de Janeiro, DCC IM, BR-20001970 Rio De Janeiro, RJ, Brazil
[3] Xian Univ Technol, Sch Comp & Engn, Xian, Peoples R China
[4] West Virginia Univ, Dept Elect & Comp Engn, Montgomery, WV 25136 USA
[5] North Dakota State Univ, Fac Elect & Comp Engn, Fargo, ND 58102 USA
来源
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2017年 / 70卷
关键词
Fog computing; Internet of Things; Cloud of Things; System modelling; Performance evaluation; COMPUTING MOTIVATION; INTERNET; CONTEXT;
D O I
10.1016/j.future.2016.06.019
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The emergent paradigm of fog computing advocates that the computational resources can be extended to the edge of the network, so that the transmission latency and bandwidth burden caused by cloud computing can be effectively reduced. Moreover, fog computing can support and facilitate some kinds of applications that do not cope well with some features of cloud computing, for instance, applications that require low and predictable latency, and geographically distributed applications. However, fog computing is not a substitute but instead a powerful complement to the cloud computing. This paper focuses on studying the interplay and cooperation between the edge (fog) and the core (cloud) in the context of the Internet of Things (IoT). We first propose a three-tier system architecture and mathematically characterize each tier in terms of energy consumption and latency. After that, simulations are performed to evaluate the system performance with and without the fog involvement. The simulation results show that the three-tier system outperforms the two-tier system in terms of the assessed metrics. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:104 / 125
页数:22
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