Classification of optimization problems in fog computing

J Bellendorf, ZÁ Mann - Future Generation Computer Systems, 2020 - Elsevier
Fog computing combines cloud services with geographically distributed resources near the
network edge to offer computational offloading possibilities to end devices, featuring low …

Delay-optimized V2V-based computation offloading in urban vehicular edge computing and networks

C Chen, L Chen, L Liu, S He, X Yuan, D Lan… - IEEE …, 2020 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is an emerging paradigm, driven by recent advancements in
vehicular communications and networking. Meanwhile, the capability and intelligence of …

Joint wireless resource and computation offloading optimization for energy efficient internet of vehicles

D Pliatsios, P Sarigiannidis, TD Lagkas… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is an emerging paradigm, which is expected to be an integral
component of beyond-fifth-generation and sixth-generation mobile networks. However, the …

Edge-AI: IoT request service provisioning in federated edge computing using actor-critic reinforcement learning

H Baghban, A Rezapour, CH Hsu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Edge computing plays a critical role in the Internet of Things (IoT) environment as it
potentially supports the time-critical IoT applications' resources as well as latency …

Delay constrained hybrid task offloading of internet of vehicle: A deep reinforcement learning method

C Wu, Z Huang, Y Zou - IEEE Access, 2022 - ieeexplore.ieee.org
The rapid development of the Internet of Things (IoTs) has driven the progress of intelligent
transportation systems (ITS), which provides basic elements, such as vehicles, traffic lights …

Deep reinforcement learning based offloading decision algorithm for vehicular edge computing

X Hu, Y Huang - PeerJ Computer Science, 2022 - peerj.com
Task offloading decision is one of the core technologies of vehicular edge computing.
Efficient offloading decision can not only meet the requirements of complex vehicle tasks in …

Improving the performance of tasks offloading for internet of vehicles via deep reinforcement learning methods

T Wang, X Luo, W Zhao - IET communications, 2022 - Wiley Online Library
With the rapid development of communication technologies, the quality of our daily life has
been improved with the applications of smart communications and networking, such as …

Resource provisioning towards OPEX optimization in horizontal edge federation

H Baghban, CY Huang, CH Hsu - Computer Communications, 2020 - Elsevier
Energy consumption is a key performance metric in multi-access edge computing (MEC)
system. Therefore, minimizing consumed energy cost is critically essential. The 5G networks …

Software-defined optimal computation task scheduling in vehicular edge networking

Z Li, E Peng - Sensors, 2021 - mdpi.com
With the development of smart vehicles and various vehicular applications, Vehicular Edge
Computing (VEC) paradigm has attracted from academic and industry. Compared with the …

Dynamic scheduling for seamless computing

F Katenbrink, A Seitz, L Mittermeier… - 2018 IEEE 8th …, 2018 - ieeexplore.ieee.org
The data generated by Internet of Things (IoT) devices is constantly increasing. The use of
cloud computing to process this data is associated with network congestion, has high …