A survey on computation offloading in edge systems: From the perspective of deep reinforcement learning approaches
Driven by the demand of time-sensitive and data-intensive applications, edge computing
has attracted wide attention as one of the cornerstones of modern service architectures. An …
has attracted wide attention as one of the cornerstones of modern service architectures. An …
Meeting the requirements of internet of things: The promise of edge computing
Over the last few decades, Internet of Things (IoT) has become the spotlight area of research
within the Industries and Academics. Primarily, IoT devices are characterized by small and …
within the Industries and Academics. Primarily, IoT devices are characterized by small and …
Location-aware and delay-minimizing task offloading in vehicular edge computing networks
Y Xia, H Zhang, X Zhou, D Yuan - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) has been reported as a new computation paradigm to
meet the low-latency requirement in vehicular networks. In this article, we study a novel …
meet the low-latency requirement in vehicular networks. In this article, we study a novel …
Heterogeneous edge service deployment for cyber physical social intelligence in internet of vehicles
Cyber Physical Social Intelligence (CPSI) integrates the social intelligence and cyber-
physical systems, enabling machines to better interact and respond to human social …
physical systems, enabling machines to better interact and respond to human social …
[HTML][HTML] Reinforcement learning-based computation offloading in edge computing: Principles, methods, challenges
Z Luo, X Dai - Alexandria Engineering Journal, 2024 - Elsevier
With the rapid development of mobile communication technologies and Internet of Things
(IoT) devices, Multi-Access Edge Computing (MEC) has become one of the most potential …
(IoT) devices, Multi-Access Edge Computing (MEC) has become one of the most potential …
Mobility and dependency-aware task offloading for intelligent assisted driving in vehicular edge computing networks
Y Li, C Yang, X Chen, Y Liu - Vehicular Communications, 2024 - Elsevier
Intelligent assisted driving is an important application in vehicular edge computing networks
(VECNs). In the intelligent transportation system (ITS), a group of moving vehicle users need …
(VECNs). In the intelligent transportation system (ITS), a group of moving vehicle users need …
Joint service request scheduling and container retention in serverless edge computing for vehicle-infrastructure collaboration
Lightweight and layered structure containers in serverless edge computing (SEC) provide
flexible service configurations and computing for vehicles with diverse service requests in …
flexible service configurations and computing for vehicles with diverse service requests in …
Mobility-aware cooperative service caching for mobile augmented reality services in mobile edge computing
Mobile edge computing (MEC) plays a significant role in reducing network delay for Mobile
Augmented Reality (MAR) services by caching these services close to the User Equipments …
Augmented Reality (MAR) services by caching these services close to the User Equipments …
Online task offloading algorithm based on multi-objective optimization caching strategy
M Xie, X Su, H Sun, G Zhang - Computer Networks, 2024 - Elsevier
Within the realm of Mobile Edge Computing (MEC), task offloading has consistently
garnered significant attention. Within the context of intricate caching environments and multi …
garnered significant attention. Within the context of intricate caching environments and multi …
An approximation algorithm for joint data uploading and task offloading in IoV
This paper investigates cooperative data uploading and task offloading in heterogeneous
Internet of Vehicles (IoV). Specifically, considering the characteristics that different tasks may …
Internet of Vehicles (IoV). Specifically, considering the characteristics that different tasks may …