QoE-driven IoT architecture: a comprehensive review on system and resource management
B Saovapakhiran, W Naruephiphat… - IEEE …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) services have grown substantially in recent years. Consequently, IoT
service providers (SPs) are emerging in the market and competing to offer their services …
service providers (SPs) are emerging in the market and competing to offer their services …
Joint task scheduling and containerizing for efficient edge computing
Container-based operation system (OS) level virtualization has been adopted by many edge-
computing platforms. However, for an edge server, inter-container communications, and …
computing platforms. However, for an edge server, inter-container communications, and …
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 …
Joint scheduling of participants, local iterations, and radio resources for fair federated learning over mobile edge networks
Federated learning (FL) provides a promising way to train a machine learning model among
mobile devices without collecting their raw data to a central node. During training, proper …
mobile devices without collecting their raw data to a central node. During training, proper …
Large-scale Cooperative Task Offloading and Resource Allocation in Heterogeneous MEC Systems via Multi-Agent Reinforcement Learning
Z Gao, L Yang, Y Dai - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
In multiaccess edge computing (MEC) systems, existing task offloading methods have
provided ultrashort latency services for heterogeneous tasks on mobile devices (MDs) …
provided ultrashort latency services for heterogeneous tasks on mobile devices (MDs) …
A proactive stable scheme for vehicular collaborative edge computing
Due to the restricted computing resources and high upgrading costs, onboard processors
alone cannot meet the quality of service (QoS) requirements of the emerging and constantly …
alone cannot meet the quality of service (QoS) requirements of the emerging and constantly …
Kubeedge wireless for integrated communication and computing services everywhere
The fifth generation (5G) communication network has been developed rapidly in the past few
years, which provides substantial bandwidth capacities and higher quality of service (QoS) …
years, which provides substantial bandwidth capacities and higher quality of service (QoS) …
Offloading demand prediction-driven latency-aware resource reservation in edge networks
J Zhang, J Wang, Z Yuan, W Zhang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The wide applications of edge computing has brought dawn to terminals with limited
computing resources and energy supply. Terminal completes its task through computing …
computing resources and energy supply. Terminal completes its task through computing …
Intelligent content precaching scheme for platoon-based edge vehicular networks
To provide various onboard entertainment services, the ever-increased Internet contents to
be exchanged among remote data centers, roadside units (RSUs), and vehicles demand …
be exchanged among remote data centers, roadside units (RSUs), and vehicles demand …
Dynamic reservation of edge servers via deep reinforcement learning for connected vehicles
Edge computing is promising for connected vehicles. As vehicles move, their resource
demands for edge servers vary. Thus, it is necessary to reserve edge servers dynamically to …
demands for edge servers vary. Thus, it is necessary to reserve edge servers dynamically to …