Cooperative task scheduling for computation offloading in vehicular cloud

F Sun, F Hou, N Cheng, M Wang… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Technological evolutions in the automobile industry, especially the development of
connected and autonomous vehicles, have granted vehicles more computing, storage, and …

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 …

[HTML][HTML] An efficient task offloading scheme in vehicular edge computing

S Raza, W Liu, M Ahmed, MR Anwar, MA Mirza… - Journal of Cloud …, 2020 - Springer
Vehicular edge computing (VEC) is a promising paradigm to offload resource-intensive
tasks at the network edge. Owing to time-sensitive and computation-intensive vehicular …

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 …

Task replication for deadline-constrained vehicular cloud computing: Optimal policy, performance analysis, and implications on road traffic

Z Jiang, S Zhou, X Guo, Z Niu - IEEE Internet of Things Journal, 2017 - ieeexplore.ieee.org
In vehicular cloud computing (VCC) systems, the computational resources of moving
vehicles are exploited and managed by infrastructures, eg, roadside units, to provide …

Collaborative mobile computation offloading to vehicle-based cloudlets

Z Wang, D Zhao, M Ni, L Li, C Li - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This paper investigates collaborative computation offloading in a vehicular network.
Although there are increasingly more smart vehicles on roads, a significant number of …

Energy-efficient computation offloading in vehicular edge cloud computing

X Li, Y Dang, M Aazam, X Peng, T Chen… - IEEE Access, 2020 - ieeexplore.ieee.org
With the development of electrification, automation, and interconnection of the automobile
industry, the demand for vehicular computing has entered an explosive growth era. Massive …

Efficient workload allocation and user-centric utility maximization for task scheduling in collaborative vehicular edge computing

X Huang, R Yu, D Ye, L Shu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
By integrating Mobile Edge Computing (MEC) into vehicular networks, vehicular edge
computing extends computing capability to the vehicular network edge and hosts services in …

A probabilistic approach for cooperative computation offloading in MEC-assisted vehicular networks

P Dai, K Hu, X Wu, H Xing, F Teng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) has been an effective paradigm for supporting computation-
intensive applications by offloading resources at network edge. Especially in vehicular …

Vehicular cloud computing through dynamic computation offloading

A Ashok, P Steenkiste, F Bai - Computer Communications, 2018 - Elsevier
The growing demand in the number of sensor–dependent applications and infotainment
services in vehicles is pushing the limits of their on–board computing resources. Today …