Reinforcement learning based resource management for fog computing environment: Literature review, challenges, and open issues
In the IoT-based systems, the fog computing allows the fog nodes to offload and process
tasks requested from IoT-enabled devices in a distributed manner instead of the centralized …
tasks requested from IoT-enabled devices in a distributed manner instead of the centralized …
Task offloading in vehicular fog computing: State-of-the-art and open issues
AMA Hamdi, FK Hussain, OK Hussain - Future Generation Computer …, 2022 - Elsevier
Vehicular fog computing (VFC) has been proposed as a promising solution to overcome the
limitations of edge computing. In VFC, the idle resources of moving and parked vehicles can …
limitations of edge computing. In VFC, the idle resources of moving and parked vehicles can …
Distributed machine learning for multiuser mobile edge computing systems
Y Guo, R Zhao, S Lai, L Fan, X Lei… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
In this paper, we investigate a distributed machine learning approach for a multiuser mobile
edge computing (MEC) network in a cognitive eavesdropping environment, where multiple …
edge computing (MEC) network in a cognitive eavesdropping environment, where multiple …
Secure mobile edge computing networks in the presence of multiple eavesdroppers
In this paper, we investigate a secure mobile edge computing (MEC) network in the
presence of multiple eavesdroppers, where multiple users can offload parts of their tasks to …
presence of multiple eavesdroppers, where multiple users can offload parts of their tasks to …
A cost-efficient IoT service placement approach using whale optimization algorithm in fog computing environment
M Ghobaei-Arani, A Shahidinejad - Expert Systems with Applications, 2022 - Elsevier
The rapid development of Internet of Things (IoT)-based applications and the era of 5G
networks has led to an exponential increase in the amount of data required for processing …
networks has led to an exponential increase in the amount of data required for processing …
Priority-aware resource scheduling for uav-mounted mobile edge computing networks
In this paper, we investigate the joint impact of task priority and mobile computing service on
the mobile edge computing (MEC) networks, in which one unmanned aerial vehicle (UAV) …
the mobile edge computing (MEC) networks, in which one unmanned aerial vehicle (UAV) …
Fuzzy Reinforcement Learning for energy efficient task offloading in Vehicular Fog Computing
S Vemireddy, RR Rout - Computer Networks, 2021 - Elsevier
Abstract Vehicular Fog Computing (VFC) has been envisioned as a potential fog computing
paradigm which aims to offload delay sensitive tasks to mobile fog vehicles instead of …
paradigm which aims to offload delay sensitive tasks to mobile fog vehicles instead of …
SDN-based resource allocation in edge and cloud computing systems: An evolutionary stackelberg differential game approach
Recently, the boosting growth of computation-heavy applications raises great challenges for
the Fifth Generation (5G) and future wireless networks. As responding, the hybrid edge and …
the Fifth Generation (5G) and future wireless networks. As responding, the hybrid edge and …
DRL-based resource allocation for computation offloading in IoV networks
Due to the dynamic nature of a vehicular fog computing environment, efficient real-time
resource allocation in an Internet of Vehicles (IoV) network without affecting the quality of …
resource allocation in an Internet of Vehicles (IoV) network without affecting the quality of …
Convergence of broadband and broadcast/multicast in maritime information networks
Recently, the fifth-generation (5G) of wireless networks mainly focuses on the terrestrial
applications. However, the well-developed emerging technologies in 5G are hardly applied …
applications. However, the well-developed emerging technologies in 5G are hardly applied …