边缘计算中数据驱动的智能应用:前景与挑战

发布时间:2019-06-27 作者:秦永彬,韩蒙,杨清亮 阅读量 :

边缘计算中数据驱动的智能应用:前景与挑战

 

秦永彬1,韩蒙2,杨清亮2

1. 贵州大学贵州省公共大数据重点实验室;2. 肯尼索州立大学数据驱动智能研究实验室

 

摘要:针对边缘计算中数据驱动的智能应用这一子领域进行了全面的综述和比较。创新性地提出面向智能应用的边缘体系架构,并对目前已经存在的智能应用的最新成果进行总结。通过对相关研究工作的总结和分析,提出将人工智能与边缘计算相结合的方法来面对全新的机会和挑战,并对如何衡量、面对并有效利用这些机会与挑战提出了进一步思考和展望。
关键词:边缘计算; 数据驱动;智能应用;人工智能

 

Data-Driven Intelligent Application in Edge Computing: Prospects and Challenges

 

QIN Yongbin1, HAN Meng2, YANG Qingliang2

1. Guizhou Provincial Key Laboratory of Public Big Data;2. Data-driven Intelligence Research (DIR) Laboratory

 

Abstract:In this paper, a comprehensive overview and comparison of the sub-areas of data-driven intelligent applications in edge computing is given. An edge architecture for intelligent applications is proposed and the latest achievements of existing intelligent applications are summarized. It points that integrating artificial intelligence and edge computing will bring new opportunities and challenges. Further thoughts and prospects are then proposed on how to measure, face and effectively use these challenges and opportunities.
Keywords: edge computing; data driven; smart applications; artificial intelligence

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