Application management in fog computing environments: A taxonomy, review and future directions

R Mahmud, K Ramamohanarao, R Buyya - ACM Computing Surveys …, 2020 - dl.acm.org
The Internet of Things (IoT) paradigm is being rapidly adopted for the creation of smart
environments in various domains. The IoT-enabled cyber-physical systems associated with …

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 …

Mobility-aware multi-hop task offloading for autonomous driving in vehicular edge computing and networks

L Liu, M Zhao, M Yu, MA Jan, D Lan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) has gained increasing interest due to its potential to
provide low latency and reduce the load in backhaul networks. In order to meet drastically …

Reliable computation offloading for edge-computing-enabled software-defined IoV

X Hou, Z Ren, J Wang, W Cheng, Y Ren… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Internet of Vehicles (IoV) has drawn great interest recent years. Various IoV applications
have emerged for improving the safety, efficiency, and comfort on the road. Cloud computing …

Vehicle selection and resource optimization for federated learning in vehicular edge computing

H Xiao, J Zhao, Q Pei, J Feng, L Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
As a distributed deep learning paradigm, federated learning (FL) provides a powerful tool for
the accurate and efficient processing of on-board data in vehicular edge computing (VEC) …

Multi-objective optimization for resource allocation in vehicular cloud computing networks

W Wei, R Yang, H Gu, W Zhao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Modern transportation is associated with considerable challenges related to safety, mobility,
the environment and space limitations. Vehicular networks are widely considered to be a …

Priority-aware task offloading in vehicular fog computing based on deep reinforcement learning

J Shi, J Du, J Wang, J Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicular fog computing (VFC) has been expected as a promising scheme that can increase
the computational capability of vehicles without relying on servers. Comparing with …

Profit-maximized collaborative computation offloading and resource allocation in distributed cloud and edge computing systems

H Yuan, MC Zhou - IEEE Transactions on Automation Science …, 2020 - ieeexplore.ieee.org
Edge computing is a new architecture to provide computing, storage, and networking
resources for achieving the Internet of Things. It brings computation to the network edge in …

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 …

Task offloading in fog computing: A survey of algorithms and optimization techniques

N Kumari, A Yadav, PK Jana - Computer Networks, 2022 - Elsevier
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 …