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    宁兆龙

    • 副教授     硕士生导师
    • 主要任职:无
    • 性别:男
    • 毕业院校:东北大学
    • 学位:博士
    • 在职信息:在职
    • 所在单位:软件学院
    • 学科:软件工程 通信与信息系统
    • 联系方式:zhaolongning@dlut.edu.cn
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    Green Survivable Collaborative Edge Computing in Smart Cities

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    论文类型:期刊论文

    第一作者:Hou, Weigang

    通讯作者:Guo, L (reprint author), Northeastern Univ, Sch Engn & Comp Sci, Shenyang 110819, Liaoning, Peoples R China.; Ning, ZL (reprint author), Dalian Univ Technol, Key Lab Ubiquitous Network & Serv Software Liaoni, Sch Software, Dalian 116620, Peoples R China.

    合写作者:Ning, Zhaolong,Guo, Lei

    发表时间:2018-04-01

    发表刊物:IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

    收录刊物:ESI高被引论文、SCIE

    卷号:14

    期号:4

    页面范围:1594-1605

    ISSN号:1551-3203

    关键字:Collaborative edge computing; green survivability; smart cities; wireless mesh sensor networks (WMNs)

    摘要: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.