Convergence of edge computing and deep learning: A comprehensive survey

X Wang, Y Han, VCM Leung, D Niyato… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Ubiquitous sensors and smart devices from factories and communities are generating
massive amounts of data, and ever-increasing computing power is driving the core of …

Intelligent computing: the latest advances, challenges, and future

S Zhu, T Yu, T Xu, H Chen, S Dustdar, S Gigan… - Intelligent …, 2023 - spj.science.org
Computing is a critical driving force in the development of human civilization. In recent years,
we have witnessed the emergence of intelligent computing, a new computing paradigm that …

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

F Firouzi, B Farahani, A Marinšek - Information Systems, 2022 - Elsevier
Abstract The Internet of Things (IoT) tsunami, public embracement, and the ubiquitous
adoption of smart devices are affecting virtually every industry, directly or indirectly. The …

5G support for industrial IoT applications—challenges, solutions, and research gaps

P Varga, J Peto, A Franko, D Balla, D Haja, F Janky… - Sensors, 2020 - mdpi.com
Industrial IoT has special communication requirements, including high reliability, low
latency, flexibility, and security. These are instinctively provided by the 5G mobile …

A review of edge computing: Features and resource virtualization

Y Mansouri, MA Babar - Journal of Parallel and Distributed Computing, 2021 - Elsevier
With the advent of Internet of Things (IoT) connecting billions of mobile and stationary
devices to serve real-time applications, cloud computing paradigms face some significant …

Cloud-edge orchestration for the Internet of Things: Architecture and AI-powered data processing

Y Wu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) has been deeply penetrated into a wide range of important and
critical sectors, including smart city, water, transportation, manufacturing, and smart factory …

AI-enabled secure microservices in edge computing: Opportunities and challenges

F Al-Doghman, N Moustafa, I Khalil… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The paradigm of edge computing has formed an innovative scope within the domain of the
Internet of Things (IoT) through expanding the services of the cloud to the network edge to …

Service mesh: Challenges, state of the art, and future research opportunities

W Li, Y Lemieux, J Gao, Z Zhao… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
While the technology development towards microservices can significantly improve the
speed and agility of software service delivery, it also raises the operational complexity …

A feature-based framework for structuring industrial digital twins

J Autiosalo, J Vepsäläinen, R Viitala, K Tammi - IEEE access, 2019 - ieeexplore.ieee.org
Digital twin is a virtual entity that is linked to a real-world entity. Both the link and the virtual
representation can be realized in several different ways. However, the ambiguous meanings …

Dyme: Dynamic Microservice Scheduling in Edge Computing Enabled IoT

A Samanta, J Tang - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
In recent years, the rapid development of mobile edge computing (MEC) provides an
efficient execution platform at the edge for Internet-of-Things (IoT) applications …