边缘智能：边缘计算与人工智能融合的新范式

doi:10.11959/j.issn.2096-0271.2019013

Abstract

Abstract:

Artificial intelligence (AI) and edge computing (EC) represent two of today’s most popular technologies.There is a great potential to coordinate these two emerging techniques to facilitate the further advent of both sides.Through three research cases,the profound benefits were demonstrated when AI and EC synergize.Specifically,from the perspective of EC for AI,to efficiently run deep learning at the network edge,a collaborative and on-demand deep neural network (DNN) co-inference framework with device-edge synergy was proposed.By applying DNN partitioning and right-sizing,it minimizes the inference latency under target accuracy.On the other hand,from the perspective of AI for EC,for the dynamical placement of edge computing services,two methods were proposed:an online-learning based adaptive service migration strategy and a factor graph model driven predictive service migration technique.

Key words: edge computing, artificial intelligence, edge intelligence, service migration

CLC Number:

TP393

Zhi ZHOU, Shuai YU, Xu CHEN. Edge intelligence:a new nexus of edge computing and artificial intelligence[J]. Big Data Research, 2019, 5(2): 53-63.

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References 16

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