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Green Survivable Collaborative Edge Computing in Smart Cities

delete2018-04-01
delete62
PRE
AI
W
Weigang Hou
Z
Zhaolong Ning *
L
Lei Guo *
DOI:10.1109/TII.2018.2797922delete
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摘要

摘要

En 中文
As an integrated environment deployed with wired and wireless infrastructures, the smart city heavily relies on the wireless-optical broadband access network. The information flows captured by indoor devices are sent to optical network units through front-end wireless mesh sensor networks (WMNs) and, finally, reach the optical line terminal for industrial/commercial decision making via the passive optical network backhaul. To reduce the backhaul bandwidth saturated by this conventional approach, edge devices are deployed at the front-end WMN to preprocess information flows. Based on collaborative edge computing, home users or factory workers customize their computing services as virtual networks embedded onto the common WMN. In this paper, we propose the green survivable virtual network embedding for the collaborative edge computing in smart cities. We mathematically formulate the problem and derive the corresponding bound. Extensive simulations with real traces demonstrate the algorithm effectiveness.
Keyword:
Collaborative edge computing
green survivability
smart cities
wireless mesh sensor networks (WMNs)
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期刊

IEEE Transactions on Industrial Informatics 封面图
IEEE Transactions on Industrial Informatics
IF:
9.9
论文数:
8.6K
被引数:
6.0W

机构

D
Dalian University of Technology
学者数:
6.0W
论文数: 4.4W
被引数: 5.5W
N
northeastern university - china
学者数:
3.2W
论文数: 2.7W
被引数: 37
引用论文

引用论文

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