Architectural design alternatives based on cloud/edge/fog computing for connected vehicles

H Wang, T Liu, BG Kim, CW Lin… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
As vehicles playing an increasingly important role in people's daily life, requirements on
safer and more comfortable driving experience have arisen. Connected vehicles (CVs) can …

Computation offloading and resource allocation for cloud assisted mobile edge computing in vehicular networks

J Zhao, Q Li, Y Gong, K Zhang - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Computation offloading services provide required computing resources for vehicles with
computation-intensive tasks. Past computation offloading research mainly focused on …

Multi-objective optimization for resource allocation in vehicular cloud computing networks

W Wei, R Yang, H Gu, W Zhao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Modern transportation is associated with considerable challenges related to safety, mobility,
the environment and space limitations. Vehicular networks are widely considered to be a …

VANETs cloud: architecture, applications, challenges, and issues

S Sharma, A Kaul - Archives of Computational Methods in Engineering, 2021 - Springer
Vehicles which are the nodes in VANETs are equipped with powerful resources to enable
the safe and quick dissemination of information for reliable and trusty intelligent …

Cost-efficient mobility offloading and task scheduling for microservices IoVT applications in container-based fog cloud network

A Lakhan, MS Memon, Q Mastoi, M Elhoseny… - Cluster …, 2022 - Springer
These days, the usage of the internet of Vehicle Things (IVoT) applications such as E-
Business, E-Train, E-Ambulance has been growing progressively. These applications …

Computation offloading for vehicular environments: A survey

AB De Souza, PAL Rego, T Carneiro… - IEEE …, 2020 - ieeexplore.ieee.org
With significant advances in communication and computing, modern day vehicles are
becoming increasingly intelligent. This gives them the ability to contribute to safer roads and …

Contract-based computing resource management via deep reinforcement learning in vehicular fog computing

J Zhao, M Kong, Q Li, X Sun - IEEE Access, 2019 - ieeexplore.ieee.org
Vehicle fog computing (VFC) is proposed as a solution that can significantly reduce the task
processing overload of base station during the peak time, where the vehicle as a fog node …

Federated-reinforcement-learning-enabled joint communication, sensing, and computing resources allocation in connected automated vehicles networks

Q Zhang, H Wen, Y Liu, S Chang… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
For future connected automated vehicles (CAVs) networks, the joint optimization of
communication, sensing, and computing resources is crucial to guarantee the performance …

Dynamic cloud resource allocation considering demand uncertainty

S Mireslami, L Rakai, M Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Cloud computing provisions scalable resources for high performance industrial applications.
Cloud providers usually offer two types of usage plans: reserved and on-demand. Reserved …

A novel adaptive resource allocation model based on SMDP and reinforcement learning algorithm in vehicular cloud system

H Liang, X Zhang, J Zhang, Q Li… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we propose a novel adaptive cloud resource allocation model based on Semi-
Markov Decision Process (SMDP) and Reinforcement Learning (RL) algorithm in vehicular …