GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds
Vehicular Clouds (VCs) are modern platforms for processing of computation-intensive tasks
over vehicles. Such tasks are often represented as Directed Acyclic Graphs (DAGs) …
over vehicles. Such tasks are often represented as Directed Acyclic Graphs (DAGs) …
TDRA: A Truthful Dynamic Reverse Auction for DAG Task Scheduling Over Vehicular Clouds
Vehicular Clouds (VCs) have attracted tremendous attention for offering commendable
computing services to vehicles with computation-intensive tasks. Such tasks are often …
computing services to vehicles with computation-intensive tasks. Such tasks are often …
Multi-agent deep reinforcement learning-based computation offloading in LEO satellite edge computing system
J Wu, M Jia, N Zhang, Q Guo - IEEE Communications Letters, 2024 - ieeexplore.ieee.org
Efficient computation offloading is crucial for resource-constrained users in low earth orbit
(LEO) satellite edge computing system. The proposed Dueling Double Deep Q Network …
(LEO) satellite edge computing system. The proposed Dueling Double Deep Q Network …
A Deep Reinforcement Learning Approach for Dependent Task Offloading in Multi-Access Edge Computing
The resource-constrained edge devices are struggling with the rising computational
demands of modern user applications with many dependent tasks. In this paper, we …
demands of modern user applications with many dependent tasks. In this paper, we …
Task Decomposition and Hierarchical Scheduling for Collaborative Cloud-Edge-End Computing
J Cai, W Liu, Z Huang, FR Yu - IEEE Transactions on Services …, 2024 - ieeexplore.ieee.org
The emerging computing paradigms offer effective resolutions for the escalating conflict
arising from the heightened computational demands of portable terminals and their …
arising from the heightened computational demands of portable terminals and their …
QoE-Oriented Dependent Task Scheduling Under Multi-Dimensional QoS Constraints Over Distributed Networks
Task scheduling as an effective strategy can improve application performance on computing
resource-limited devices over distributed networks. However, existing evaluation …
resource-limited devices over distributed networks. However, existing evaluation …
Optimizing Task Offloading for Collaborative Unmanned Aerial Vehicles (UAVs) in Fog—Cloud Computing Environments
M Aldossary - IEEE Access, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) are used in various applications, including crowd
management, crime prevention, accident detection, and rescue operations. However, since …
management, crime prevention, accident detection, and rescue operations. However, since …
Goal-Driven Trusted Collaborator Selection and Task Offloading in Dynamic Collaborative Systems
Given the limited onboard resources and operational time constraints, dynamic collaboration
among moving intelligent machines such as Unmanned Aerial Vehicles (UAVs) and …
among moving intelligent machines such as Unmanned Aerial Vehicles (UAVs) and …
DNN-Based Task Partitioning and Offloading in Edge-Cloud Collaboration Within Electric Vehicles
H Yan, Y Gu, H He, X Ning, Q Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The rapid development of vehicular networks has led to widespread adoption of various
electric vehicle (EV) applications, often necessitating the deployment of large-scale deep …
electric vehicle (EV) applications, often necessitating the deployment of large-scale deep …
Unleashing the Potential of Stage-Wise Decision-Making in Scheduling of Graph-Structured Tasks over Mobile Vehicular Clouds
To process high volumes of data across a fleet of dynamic and distributed vehicles, it is
crucial to implement resource provisioning techniques that can provide reliable, cost …
crucial to implement resource provisioning techniques that can provide reliable, cost …