Distributed task offloading for large-scale vec systems: A multi-agent deep reinforcement learning method

Y Lu, D Han, X Wang, Q Gao - 2022 14th International …, 2022 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is a promising technology to meet the ultra-low delay
requirements of many emerging Internet of Vehicles (IoV) resource-intensive tasks. Based …

[HTML][HTML] A collaborative computation and dependency-aware task offloading method for vehicular edge computing: a reinforcement learning approach

G Liu, F Dai, B Huang, Z Qiang, S Wang, L Li - Journal of Cloud …, 2022 - Springer
Vehicular edge computing (VEC) is emerging as a new computing paradigm to improve the
quality of vehicular services and enhance the capabilities of vehicles. It enables performing …

[HTML][HTML] DRL-Based Hybrid Task Offloading and Resource Allocation in Vehicular Networks

Z Liu, Z Jia, X Pang - Electronics, 2023 - mdpi.com
With the explosion of delay-sensitive and computation-intensive vehicular applications,
traditional cloud computing has encountered enormous challenges. Vehicular edge …

Task offloading for vehicular edge computing with edge-cloud cooperation

F Dai, G Liu, Q Mo, WH Xu, B Huang - World Wide Web, 2022 - Springer
Vehicular edge computing (VEC) is emerging as a novel computing paradigm to meet low
latency demands for computation-intensive vehicular applications. However, most existing …

Deep-reinforcement-learning-based offloading scheduling for vehicular edge computing

W Zhan, C Luo, J Wang, C Wang, G Min… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is a new computing paradigm that has great potential to
enhance the capability of vehicle terminals (VTs) to support resource-hungry in-vehicle …

Deep-reinforcement-learning-based distributed computation offloading in vehicular edge computing networks

L Geng, H Zhao, J Wang, A Kaushik… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Vehicular edge computing has emerged as a promising paradigm by offloading computation-
intensive latency-sensitive tasks to mobile-edge computing (MEC) servers. However, it is …

Multi-mobile vehicles task offloading for vehicle-edge-cloud collaboration: A dependency-aware and deep reinforcement learning approach

S Pang, L Hou, H Gui, X He, T Wang, Y Zhao - Computer Communications, 2024 - Elsevier
The wide application of edge cloud computing in the Internet of Vehicles (IoV) provides
lower latency, more efficient computing power, and more reliable data transmission services …

Task offloading and serving handover of vehicular edge computing networks based on trajectory prediction

B Lv, C Yang, X Chen, Z Yao, J Yang - IEEE Access, 2021 - ieeexplore.ieee.org
Vehicular edge computing (VEC) has emerged as a promising paradigm to ensure the real-
time task processing caused by the emerging 5G or high level intelligent assisted driving …

Computing on wheels: A deep reinforcement learning-based approach

SMA Kazmi, TM Ho, TT Nguyen… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Future generation vehicles equipped with modern technologies will impose unprecedented
computational demand due to the wide adoption of compute-intensive services with …

DNN acceleration in vehicle edge computing with mobility-awareness: A synergistic vehicle-edge and edge-edge framework

Y Zheng, L Cui, FP Tso, Z Li, W Jia - Computer Networks, 2024 - Elsevier
In recent years, vehicular networks have seen a proliferation of applications and services
such as image tagging, lane detection, and speech recognition. Many of these applications …