The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT)

作者：

Highlights：

• IoT architectures: SDN, Fog Computing, Multi-Access Edge Computing, Cloudlet, Transparent Computing, Extreme Edge, etc.

• Edge–fog–cloud Interplay: benefits, challenges, and reference architecture.

• Task offloading.

• CNN-assisted ECG-based heart anomaly detection with RL-learning task offloading.

摘要

•IoT architectures: SDN, Fog Computing, Multi-Access Edge Computing, Cloudlet, Transparent Computing, Extreme Edge, etc.•Edge–fog–cloud Interplay: benefits, challenges, and reference architecture.•Task offloading.•CNN-assisted ECG-based heart anomaly detection with RL-learning task offloading.

论文关键词：Internet of Things (IoT),Cloud Computing,Fog Computing,Edge Computing,Mobile Computing,Edge-Fog-Cloud,Cloud IoT,Cloudlet,Offloading,Resource Management,Service Placement,Privacy-Preserving Machine Learning,Security and Privacy,Healthcare IoT,Case Studies

论文评审过程：Received 5 July 2020, Revised 19 June 2021, Accepted 25 June 2021, Available online 1 July 2021, Version of Record 26 March 2022.

论文官网地址：https://doi.org/10.1016/j.is.2021.101840