[HTML][HTML] A survey on vehicular task offloading: Classification, issues, and challenges
Emerging vehicular applications with strict latency and reliability requirements pose high
computing requirements, and current vehicles' computational resources are not adequate to …
computing requirements, and current vehicles' computational resources are not adequate to …
A comprehensive review of computing paradigms, enabling computation offloading and task execution in vehicular networks
Road safety, optimized traffic management, and passenger comfort have always been the
primary goals of the vehicle networking research community. Advances in computer and …
primary goals of the vehicle networking research community. Advances in computer and …
Adaptive learning-based task offloading for vehicular edge computing systems
The vehicular edge computing system integrates the computing resources of vehicles, and
provides computing services for other vehicles and pedestrians with task offloading …
provides computing services for other vehicles and pedestrians with task offloading …
Task offloading in fog computing: A survey of algorithms and optimization techniques
The exponential growth in Internet of Things (IoT) devices and the limitations of cloud
computing in terms of latency and quality of service for time-sensitive applications have led …
computing in terms of latency and quality of service for time-sensitive applications have led …
Energy-latency tradeoff for dynamic computation offloading in vehicular fog computing
Vehicular Fog Computing (VFC) provides solutions to relieves overload cloudlet nodes,
reduces service latency during peak times, and saves energy for battery-powered cloudlet …
reduces service latency during peak times, and saves energy for battery-powered cloudlet …
Adaptive user-managed service placement for mobile edge computing: An online learning approach
Mobile Edge Computing (MEC), envisioned as a cloud extension, pushes cloud resource
from the network core to the network edge, thereby meeting the stringent service …
from the network core to the network edge, thereby meeting the stringent service …
Intelligent task offloading in vehicular edge computing networks
Recently, traditional transportation systems have been gradually evolving to ITS, inspired by
both artificial intelligence and wireless communications technologies. The vehicles get …
both artificial intelligence and wireless communications technologies. The vehicles get …
Deep reinforcement learning-based adaptive computation offloading for MEC in heterogeneous vehicular networks
H Ke, J Wang, L Deng, Y Ge… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The vehicular network needs efficient and reliable data communication technology to
maintain low latency. It is very challenging to minimize the energy consumption and data …
maintain low latency. It is very challenging to minimize the energy consumption and data …
Learning based energy efficient task offloading for vehicular collaborative edge computing
Extensive delay-sensitive and computation-intensive tasks are involved in emerging
vehicular applications. These tasks can hardly be all processed by the resource constrained …
vehicular applications. These tasks can hardly be all processed by the resource constrained …
Blockchain and learning-based secure and intelligent task offloading for vehicular fog computing
H Liao, Y Mu, Z Zhou, M Sun, Z Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicular fog computing has emerged as a complementary framework for edge computing
by leveraging the under-utilized computational resources of vehicles. However, how to …
by leveraging the under-utilized computational resources of vehicles. However, how to …