6G: A comprehensive survey on technologies, applications, challenges, and research problems

HHH Mahmoud, AA Amer… - Transactions on Emerging …, 2021‏ - Wiley Online Library
The inherent limitations of the network keep on going to be revealed with the continuous
deployment of cellular networks. The next generation 6G is motivated by these drawbacks to …

Resource scheduling in edge computing: Architecture, taxonomy, open issues and future research directions

M Raeisi-Varzaneh, O Dakkak, A Habbal… - IEEE Access, 2023‏ - ieeexplore.ieee.org
The implementation of the Internet of Things and 5G communications has pushed
centralized cloud computing toward edge computing resulting in a paradigm shift in …

Survey on digital twin edge networks (DITEN) toward 6G

F Tang, X Chen, TK Rodrigues… - IEEE Open Journal of …, 2022‏ - ieeexplore.ieee.org
The next generation (6G) wireless systems aim to cater to the Internet of Everything (IoE)
and revolutionize customer services and applications to a fully intelligent and autonomous …

Edge intelligence: A computational task offloading scheme for dependent IoT application

H **ao, C Xu, Y Ma, S Yang, L Zhong… - IEEE Transactions on …, 2022‏ - ieeexplore.ieee.org
Computational offloading, as an effective way to extend the capability of resource-limited
edge devices in Internet of Things (IoT), is considered as a promising emerging paradigm for …

Solving energy-efficient fuzzy hybrid flow-shop scheduling problem at a variable machine speed using an extended NSGA-II

YJ Wang, GG Wang, FM Tian, DW Gong… - … Applications of Artificial …, 2023‏ - Elsevier
As environmental problems are increasingly challenging and sustainable development win
support among the people, the energy-efficient hybrid flow-shop scheduling problem …

Mobility-aware computational offloading in mobile edge networks: a survey

SK Zaman, AI Jehangiri, T Maqsood, Z Ahmad… - Cluster …, 2021‏ - Springer
Technological evolution of mobile devices, such as smart phones, laptops, wearable and
other handheld devices have come up with the emergence of different user applications in …

Online computation offloading with double reinforcement learning algorithm in mobile edge computing

L Liao, Y Lai, F Yang, W Zeng - Journal of Parallel and Distributed …, 2023‏ - Elsevier
Smart mobile devices have recently emerged as a promising computing platform for
computation tasks. However, the task performance is restricted by the computing power and …

Mobility aware blockchain enabled offloading and scheduling in vehicular fog cloud computing

A Lakhan, M Ahmad, M Bilal, A Jolfaei… - IEEE Transactions …, 2021‏ - ieeexplore.ieee.org
The development of vehicular Internet of Things (IoT) applications, such as E-Transport,
Augmented Reality, and Virtual Reality are growing progressively. The mobility aware …

Multi-objective Harris hawks optimization based task scheduling in cloud-fog computing

A Ali, SAA Shah, T Al Shloul, M Assam… - IEEE Internet of …, 2024‏ - ieeexplore.ieee.org
The cloud-fog computing paradigm is a novel hybrid computing model that delivers
computational services to Fog nodes situated near data sources. This paradigm features a …

Offloading dependent tasks in multi-access edge computing: A multi-objective reinforcement learning approach

F Song, H **ng, X Wang, S Luo, P Dai, K Li - Future Generation Computer …, 2022‏ - Elsevier
This paper studies the problem of offloading an application consisting of dependent tasks in
multi-access edge computing (MEC). This problem is challenging because multiple …