Edge computing in industrial internet of things: Architecture, advances and challenges

T Qiu, J Chi, X Zhou, Z Ning… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) is a crucial research field spawned by the Internet of
Things (IoT). IIoT links all types of industrial equipment through the network; establishes data …

A survey on end-edge-cloud orchestrated network computing paradigms: Transparent computing, mobile edge computing, fog computing, and cloudlet

J Ren, D Zhang, S He, Y Zhang, T Li - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
Sending data to the cloud for analysis was a prominent trend during the past decades,
driving cloud computing as a dominant computing paradigm. However, the dramatically …

Mobile edge computing: A survey on architecture and computation offloading

P Mach, Z Becvar - IEEE communications surveys & tutorials, 2017 - ieeexplore.ieee.org
Technological evolution of mobile user equipment (TIEs), such as smartphones or laptops,
goes hand-in-hand with evolution of new mobile applications. However, running …

A comprehensive survey of RAN architectures toward 5G mobile communication system

MA Habibi, M Nasimi, B Han, HD Schotten - Ieee Access, 2019 - ieeexplore.ieee.org
The fifth generation (5G) of mobile communication system aims to deliver a ubiquitous
mobile service with enhanced quality of service (QoS). It is also expected to enable new use …

New computing tasks offloading method for MEC based on prospect theory framework

DG Zhang, WM Dong, T Zhang, J Zhang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) provides reliable solutions for networked vehicles, mobile
phones, and other mobile devices to complete intensive computing and delay-sensitive …

BOAT: A block-streaming app execution scheme for lightweight IoT devices

X Peng, J Ren, L She, D Zhang, J Li… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
The contradiction between the limited capability of lightweight Internet-of-Things (IoT)
devices and ever-increasing user demands is a fundamental and challenging problem in the …

Task offloading in Edge and Cloud Computing: A survey on mathematical, artificial intelligence and control theory solutions

F Saeik, M Avgeris, D Spatharakis, N Santi… - Computer Networks, 2021 - Elsevier
Next generation communication networks are expected to accommodate a high number of
new and resource-voracious applications that can be offered to a large range of end users …

On-edge multi-task transfer learning: Model and practice with data-driven task allocation

Q Chen, Z Zheng, C Hu, D Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
On edge devices, data scarcity occurs as a common problem where transfer learning serves
as a widely-suggested remedy. Nevertheless, transfer learning imposes heavy computation …

A code-oriented partitioning computation offloading strategy for multiple users and multiple mobile edge computing servers

Y Ding, C Liu, X Zhou, Z Liu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this article, we investigate code-oriented partitioning computation offloading strategy for
multiple user equipments (UEs) and multiple mobile edge computing servers with limited …

Data-driven task allocation for multi-task transfer learning on the edge

Q Chen, Z Zheng, C Hu, D Wang… - 2019 IEEE 39th …, 2019 - ieeexplore.ieee.org
Edge computing for machine learning has become a heated research topic. On edge
devices, data scarcity occurs as a common problem where transfer learning serves as a …