[HTML][HTML] Deep reinforcement learning-based scheduling for optimizing system load and response time in edge and fog computing environments
Edge/fog computing, as a distributed computing paradigm, satisfies the low-latency
requirements of ever-increasing number of IoT applications and has become the …
requirements of ever-increasing number of IoT applications and has become the …
Video data offloading techniques in Mobile Edge Computing: A survey
H Ma, B Ji, H Wu, L Xing - Physical Communication, 2023 - Elsevier
Driven by the Quality of Experience (QoE) demands for video analysis applications within
contexts such as smart cities, Industrial Internet of Things (IoT), and Internet of Vehicles …
contexts such as smart cities, Industrial Internet of Things (IoT), and Internet of Vehicles …
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 …
Cooperative UAV-USV MEC Platform for Wireless Inland Waterway Communications
Y Liao, X Chen, J Liu, Y Han, N Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Unmanned surface vehicles (USVs) play a key role in inland waterway transport through
intelligent IoT sensing and analytics. The embedded USV platforms, however, suffer limited …
intelligent IoT sensing and analytics. The embedded USV platforms, however, suffer limited …
[HTML][HTML] Advancements in heuristic task scheduling for IoT applications in fog-cloud computing: challenges and prospects
D Alsadie - PeerJ Computer Science, 2024 - peerj.com
Fog computing has emerged as a prospective paradigm to address the computational
requirements of IoT applications, extending the capabilities of cloud computing to the …
requirements of IoT applications, extending the capabilities of cloud computing to the …
Joint Computation Offloading and Resource Allocation in Multi-edge Smart Communities with Personalized Federated Deep Reinforcement Learning
Through deploying computing resources at the network edge, Mobile Edge Computing
(MEC) alleviates the contradiction between the high requirements of intelligent mobile …
(MEC) alleviates the contradiction between the high requirements of intelligent mobile …
Deep Reinforcement Learning-based Scheduling in Edge and Fog Computing Environments
Z Wang, M Goudarzi, M Gong, R Buyya - arXiv preprint arXiv:2309.07407, 2023 - arxiv.org
Edge/fog computing, as a distributed computing paradigm, satisfies the low-latency
requirements of ever-increasing number of IoT applications and has become the …
requirements of ever-increasing number of IoT applications and has become the …
Online resolution adaptation and resource allocation for edge-assisted video analytics
Y Li, Y Li, Y Chen, J Tong, X Tian, K Chi - Computer Networks, 2024 - Elsevier
Real-time analytics on video data from mobile devices demands intensive computation
resources for the application like traffic monitoring and anomaly detection. Leveraging edge …
resources for the application like traffic monitoring and anomaly detection. Leveraging edge …