Machine and deep learning for resource allocation in multi-access edge computing: A survey
With the rapid development of Internet-of-Things (IoT) devices and mobile communication
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …
A survey of research on computation offloading in mobile cloud computing
X **, W Hua, Z Wang, Y Chen - Wireless Networks, 2022 - Springer
Mobile devices (MDs), represented by smartphones, have been widely used in various
industries. However, MDs are constrained by their limited resources and cannot execute …
industries. However, MDs are constrained by their limited resources and cannot execute …
Sustainable task offloading in UAV networks via multi-agent reinforcement learning
The recent growth of IoT devices, along with edge computing, has revealed many
opportunities for novel applications. Among them, Unmanned Aerial Vehicles (UAVs), which …
opportunities for novel applications. Among them, Unmanned Aerial Vehicles (UAVs), which …
Mayfly Taylor Optimisation‐Based Scheduling Algorithm with Deep Reinforcement Learning for Dynamic Scheduling in Fog‐Cloud Computing
Fog computing domain plays a prominent role in supporting time‐delicate applications,
which are associated with smart Internet of Things (IoT) services, like smart healthcare and …
which are associated with smart Internet of Things (IoT) services, like smart healthcare and …
Collaborate or separate? Distributed service caching in mobile edge clouds
With the development of 5G technology, mobile edge computing is emerging as an enabling
technique to promote Quality of Service (QoS) of network services. In particular, the …
technique to promote Quality of Service (QoS) of network services. In particular, the …
Online computation offloading and traffic routing for UAV swarms in edge-cloud computing
Unmanned Aerial Vehicle (UAV) swarms are widely applied for service provisioning in many
domains such as topographic map** and traffic monitoring. These UAV applications are …
domains such as topographic map** and traffic monitoring. These UAV applications are …
Dynamic energy-saving offloading strategy guided by Lyapunov optimization for IoT devices
In the Internet of Everything era, various Internet of Things (IoT) devices have become
popular, and the number of computing-intensive applications has increased substantially. As …
popular, and the number of computing-intensive applications has increased substantially. As …
An intelligent dynamic offloading from cloud to edge for smart iot systems with big data
Intelligent networking and big data analytics are two important pillars for the operation of
systems. Edge computing is frequently used in smart IoT systems, particularly in those which …
systems. Edge computing is frequently used in smart IoT systems, particularly in those which …
Edge intelligence computing for mobile augmented reality with deep reinforcement learning approach
Abstract Convergence of Augmented Reality (AR) and Next Generation Internet-of-Things
(NG-IoT) can create new opportunities in many emerging areas, where the real-time data …
(NG-IoT) can create new opportunities in many emerging areas, where the real-time data …
Cost-aware task scheduling in fog-cloud environment
Cloud computing provides computing and storage resources over the Internet to provide
services for different industries. However, delay-sensitive applications like smart health and …
services for different industries. However, delay-sensitive applications like smart health and …