Resource scheduling in edge computing: A survey

Q Luo, S Hu, C Li, G Li, W Shi - IEEE Communications Surveys …, 2021 - ieeexplore.ieee.org
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …

Vehicular edge computing: Architecture, resource management, security, and challenges

R Meneguette, R De Grande, J Ueyama… - ACM Computing …, 2021 - dl.acm.org
Vehicular Edge Computing (VEC), based on the Edge Computing motivation and
fundamentals, is a promising technology supporting Intelligent Transport Systems services …

Multiagent deep reinforcement learning for vehicular computation offloading in IoT

X Zhu, Y Luo, A Liu, MZA Bhuiyan… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The development of the Internet of Things (IoT) and intelligent vehicles brings a comfortable
environment for users. Various emerging vehicular applications using artificial intelligence …

Dependency-aware task scheduling in vehicular edge computing

Y Liu, S Wang, Q Zhao, S Du, A Zhou… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Vehicular edge computing (VEC) offers a new paradigm to improve vehicular services and
augment the capabilities of vehicles. In this article, we study the problem of task scheduling …

Balancing QoS and security in the edge: Existing practices, challenges, and 6G opportunities with machine learning

ZM Fadlullah, B Mao, N Kato - IEEE Communications Surveys & …, 2022 - ieeexplore.ieee.org
While the emerging 6G networks are anticipated to meet the high-end service quality
demands of the mobile edge users in terms of data rate and delay satisfaction, new attack …

Dependency-aware task offloading and service caching in vehicular edge computing

Q Shen, BJ Hu, E Xia - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
With the emergence of computation-intensive vehicular applications, vehicular edge
computing (VEC) offers a new paradigm to augment the capabilities of vehicles. In this …

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 …

Joint optimization of computation offloading and task scheduling in vehicular edge computing networks

J Sun, Q Gu, T Zheng, P Dong, A Valera, Y Qin - Ieee Access, 2020 - ieeexplore.ieee.org
Resource-intensive applications on smart vehicles is posing difficulties to the use of
traditional cloud computing for computation offloading in vehicular networks. In particular …

Energy-delay minimization of task migration based on game theory in MEC-assisted vehicular networks

H Wang, T Lv, Z Lin, J Zeng - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
Roadside units (RSUs), which have strong computing capability and are close to vehicle
nodes, have been widely used to process delay-and computation-intensive tasks of vehicle …

Computation offloading and content caching and delivery in vehicular edge network: A survey

RA Dziyauddin, D Niyato, NC Luong, AAAM Atan… - Computer Networks, 2021 - Elsevier
The past decade has witnessed the widespread adoption of Cloud Computing (CC) across
automotive industries for a myriad of vehicular applications. A vehicular network that solely …