物联网学报 ›› 2019, Vol. 3 ›› Issue (2): 80-88.doi: 10.11959/j.issn.2096-3750.2019.00101

所属专题: 边缘计算

• 理论与技术 • 上一篇    下一篇

移动智能边缘计算激励机制研究

骆淑云1,温雨舟1,徐伟强1,朱升宏2   

  1. 1 浙江理工大学,浙江 杭州 310018
    2 新华三技术有限公司,浙江 杭州 310052
  • 修回日期:2019-03-02 出版日期:2019-06-30 发布日期:2019-07-17
  • 作者简介:骆淑云(1986- ),女,浙江金华人,博士,浙江理工大学讲师,主要研究方向为智能边缘计算与网络经济。|温雨舟(1995- ),男,江苏苏州人,浙江理工大学硕士生,主要研究方向为移动边缘计算与任务调度。|徐伟强(1975- ),男,浙江杭州人,博士,浙江理工大学教授,主要研究方向为无线网络与工业互联网。|朱升宏(1968- ),男,浙江杭州人,新华三技术有限公司副总裁、高级工程师,主要研究方向为云计算、大数据、大互联、大安全的数字化解决方案和产品研发。
  • 基金资助:
    国家自然科学基金资助项目(61701444);国家自然科学基金资助项目(U1709219);浙江省重点研发计划(2018C01093)

Research on incentive mechanism for mobile intelligent edge computing

Shuyun LUO1,Yuzhou WEN1,Weiqiang XU1,Shenghong ZHU2   

  1. 1 Zhejiang Sci-Tech University,Hangzhou 310018,China
    2 New H3C Technology Corporation,Hangzhou 310052,China
  • Revised:2019-03-02 Online:2019-06-30 Published:2019-07-17
  • Supported by:
    The National Natural Science Foundation of China(61701444);The National Natural Science Foundation of China(U1709219);The Key Research and Development Program Foundation of Zhejiang(2018C01093)

摘要:

移动边缘计算作为新架构赋予了边缘端更强的计算、存储和通信能力,但是需要合理的激励机制来提高边缘端用户提供资源的主动性。针对移动智能边缘计算的三大典型应用场景即计算卸载、边缘缓存和数据收集,首先对不同应用场景下的激励机制进行研究,然后从服务质量、网络质量和数据质量3个角度提出了移动智能边缘计算激励机制设计所要解决的核心科学问题,最后深入分析了解决以上问题所面临的技术挑战,并给出了对应的具体解决方案。

关键词: 激励机制, 移动智能边缘计算, 计算卸载, 边缘缓存, 数据收集

Abstract:

As a new architecture,mobile edge computing gives edge users stronger capabilities of computing,storage and communication,but it needs reasonable incentives mechanism to motivate edge users to provide resources.In terms of the three typical scenarios of mobile intelligent edge computing:computation offloading,edge caching and data collection,the incentive mechanism in the above scenarios was studied at first,then the core scientific problems were proposed that need to be solved in the incentive mechanism design of mobile intelligent edge computing from three perspectives of service quality,network quality and data quality.Finally,the technical challenges in the process of solving the above problems were analysed deeply and the corresponding feasible solutions were given.

Key words: incentive mechanism, mobile intelligent edge computing, computation offloading, edge caching, data collection

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