A collaborative computation and dependency-aware task offloading method for vehicular edge computing: a reinforcement learning approach
Abstract 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 tasks with low latency by deploying computing and storage resources close to vehicles. However, the traditional...
Main Authors: | Guozhi Liu, Fei Dai, Bi Huang, Zhenping Qiang, Shuai Wang, Lecheng Li |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2022-10-01
|
Series: | Journal of Cloud Computing: Advances, Systems and Applications |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13677-022-00340-3 |
Similar Items
-
An efficient task offloading scheme in vehicular edge computing
by: Salman Raza, et al.
Published: (2020-06-01) -
Federated Deep Reinforcement Learning Based Task Offloading with Power Control in Vehicular Edge Computing
by: Sungwon Moon, et al.
Published: (2022-12-01) -
Task-Offloading Strategy Based on Performance Prediction in Vehicular Edge Computing
by: Feng Zeng, et al.
Published: (2022-03-01) -
Joint optimization of network selection and task offloading for vehicular edge computing
by: Lujie Tang, et al.
Published: (2021-03-01) -
A vehicle to vehicle relay-based task offloading scheme in Vehicular Communication Networks
by: Salman Raza, et al.
Published: (2021-04-01)