AI-empowered fog/edge resource management for IoT applications: A comprehensive review, research challenges and future perspectives
The proliferation of ubiquitous Internet of Things (IoT) sensors and smart devices in several
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …
Reinforcement learning methods for computation offloading: a systematic review
Z Zabihi, AM Eftekhari Moghadam… - ACM Computing …, 2023 - dl.acm.org
Today, cloud computation offloading may not be an appropriate solution for delay-sensitive
applications due to the long distance between end-devices and remote datacenters. In …
applications due to the long distance between end-devices and remote datacenters. In …
A digital twin-assisted intelligent partial offloading approach for vehicular edge computing
Vehicle Edge Computing (VEC) is a promising paradigm that exposes Mobile Edge
Computing (MEC) to road scenarios. In VEC, task offloading can enable vehicles to offload …
Computing (MEC) to road scenarios. In VEC, task offloading can enable vehicles to offload …
Joint service caching and computation offloading scheme based on deep reinforcement learning in vehicular edge computing systems
Vehicular edge computing (VEC) is a new computing paradigm that enhances vehicular
performance by introducing both computation offloading and service caching, to resource …
performance by introducing both computation offloading and service caching, to resource …
Offloading mechanisms based on reinforcement learning and deep learning algorithms in the fog computing environment
DH Abdulazeez, SK Askar - Ieee Access, 2023 - ieeexplore.ieee.org
Fog computing has emerged as a computing paradigm for resource-restricted Internet of
things (IoT) devices to support time-sensitive and computationally intensive applications …
things (IoT) devices to support time-sensitive and computationally intensive applications …
Fast adaptive task offloading and resource allocation via multiagent reinforcement learning in heterogeneous vehicular fog computing
Z Gao, L Yang, Y Dai - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In vehicular fog computing, task offloading enables mobile vehicles (MVs) to offer ultralow
latency services for computation-intensive tasks. Nevertheless, the edge server (ES) may …
latency services for computation-intensive tasks. Nevertheless, the edge server (ES) may …
Hierarchical task offloading for vehicular fog computing based on multi-agent deep reinforcement learning
Vehicular fog computing (VFC) has been expected as a promising architecture that can
make full use of computing resources of idle vehicles to increase computing capability …
make full use of computing resources of idle vehicles to increase computing capability …
Machine learning-based solutions for resource management in fog computing
M Fahimullah, S Ahvar, M Agarwal… - Multimedia Tools and …, 2024 - Springer
Fog computing is a paradigm that offers distributed and diverse resources at the network
edge to fulfill the quality of service requirements. However, effectively managing these …
edge to fulfill the quality of service requirements. However, effectively managing these …
A review of resource management in fog computing: Machine learning perspective
M Fahimullah, S Ahvar, M Trocan - arXiv preprint arXiv:2209.03066, 2022 - arxiv.org
Fog computing becomes a promising technology to process user's requests near the
proximity of users to reduce response time for latency-sensitive requests. Despite its …
proximity of users to reduce response time for latency-sensitive requests. Despite its …
Towards secure and trustworthy vehicular fog computing: A survey
The integration of fog computing in vehicular networks has led to significant advancements
in road safety, traffic control, entertainment, and comfort services. Vehicular Fog Computing …
in road safety, traffic control, entertainment, and comfort services. Vehicular Fog Computing …