An overview on edge computing research

K Cao, Y Liu, G Meng, Q Sun - IEEE access, 2020 - ieeexplore.ieee.org
With the rapid development of the Internet of Everything (IoE), the number of smart devices
connected to the Internet is increasing, resulting in large-scale data, which has caused …

Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions

S Ahmad, I Shakeel, S Mehfuz, J Ahmad - Computer Science Review, 2023 - Elsevier
In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …

A triple real-time trajectory privacy protection mechanism based on edge computing and blockchain in mobile crowdsourcing

W Wang, Y Wang, P Duan, T Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT) and the rapid popularization of 5 G
networks, the data that needs to be processed in Mobile Crowdsourcing (MCS) system is …

Edge Computing for IoT‐Enabled Smart Grid

MY Mehmood, A Oad, M Abrar… - Security and …, 2021 - Wiley Online Library
Smart grid is a new vision of the conventional power grid to integrate green and renewable
technologies. Smart grid (SG) has become a hot research topic with the development of new …

An efficient and outsourcing-supported attribute-based access control scheme for edge-enabled smart healthcare

H Zhong, Y Zhou, Q Zhang, Y Xu, J Cui - Future Generation Computer …, 2021 - Elsevier
In recent years, the continuous development of smart healthcare has brought substantial
convenience to our lives, especially for emerging edge-enabled smart healthcare systems …

Cloud-edge collaboration in industrial internet of things: A joint offloading scheme based on resource prediction

Z Sun, H Yang, C Li, Q Yao, D Wang… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
With the continuous addition of an abundant of heterogeneous devices, the limitation of task
delay has become an obstacle to the development of the Industrial Internet of Things (IIoT) …

联邦生态: 从联邦数据到联邦智能

王飞跃, 王艳芬, 陈薏竹, 田永林, 齐红威… - 智能科学与技术 …, 2020 - infocomm-journal.com
摘要针对大数据时代广泛存在的数据孤岛问题, 从整体入手, 提出了联邦生态的基本框架,
并探讨了其结构和运行机制. 联邦生态以数据隐私可控为前提, 以区块链技术为支撑 …

Artificial intelligence for securing IoT services in edge computing: a survey

Z Xu, W Liu, J Huang, C Yang, J Lu… - Security and …, 2020 - Wiley Online Library
With the explosive growth of data generated by the Internet of Things (IoT) devices, the
traditional cloud computing model by transferring all data to the cloud for processing has …

A reliable and efficient task offloading strategy based on multifeedback trust mechanism for IoT edge computing

W Kong, X Li, L Hou, J Yuan, Y Gao… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Facing multidemand tasks and massive heterogeneous resources in an IoT edge computing
environment, it is a challenge to obtain reliable and quick response service and allocate …

[PDF][PDF] 基于云, 网, 边融合的边缘计算新方案: 算力网络

雷波, 刘增义, 王旭亮, 杨明川, 陈运清 - 电信科学, 2019 - infocomm-journal.com
边缘计算已经成为5G 时代重要的创新型业务模式, 尤其是其低时延特性, 被认为是传统方案所不
具备的, 因此边缘计算能够提供更多的服务能力且具有更为广泛的应用场景 …