Virtual Network Embedding for Task Offloading in IIoT: A DRL-Assisted Federated Learning Scheme
The Industrial Internet of Things (IIoT) promotes the deep integration of new-generation
communication technologies and industrial ecology. However, the popularity of computing …
communication technologies and industrial ecology. However, the popularity of computing …
MR-DRO: A fast and efficient task offloading algorithm in heterogeneous edge/cloud computing environments
With the rapid development of Internet of Things (IoT) and next-generation communication
technologies, resource-constrained mobile devices (MDs) fail to meet the demand of …
technologies, resource-constrained mobile devices (MDs) fail to meet the demand of …
Performance optimization of serverless edge computing function offloading based on deep reinforcement learning
X Yao, N Chen, X Yuan, P Ou - Future Generation Computer Systems, 2023 - Elsevier
It is difficult for resource-constrained edge servers to simultaneously meet the performance
requirements of all the latency-sensitive Internet of Things (IoT) applications in edge …
requirements of all the latency-sensitive Internet of Things (IoT) applications in edge …
Deep reinforcement learning based task offloading in SDN-enabled industrial Internet of Things
Recent advances in communication and sensor network technologies make Industrial
Internet of Things (IIoT) a major driving force for future industry. Various devices in wide …
Internet of Things (IIoT) a major driving force for future industry. Various devices in wide …
Task offloading based on LSTM prediction and deep reinforcement learning for efficient edge computing in IoT
In IoT (Internet of Things) edge computing, task offloading can lead to additional
transmission delays and transmission energy consumption. To reduce the cost of resources …
transmission delays and transmission energy consumption. To reduce the cost of resources …
Parameterized Deep Reinforcement Learning With Hybrid Action Space for Edge Task Offloading
T Wang, Y Deng, Z Yang, Y Wang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Multiaccess edge computing (MEC) has emerged as a promising solution that can enable
low-end terminal devices to run large complex applications by offloading their tasks to edge …
low-end terminal devices to run large complex applications by offloading their tasks to edge …
Task Offloading via Prioritized Experience-based Double Dueling DQN in Edge-assisted IIoT
In the Industrial Internet of Things (IIoT), Multi-access Edge Computing (MEC) emerges as a
transformative paradigm for managing computation-intensive tasks, where task offloading …
transformative paradigm for managing computation-intensive tasks, where task offloading …
Deep reinforcement learning-based edge computing offloading algorithm for software-defined IoT
X Zhu, T Zhang, J Zhang, B Zhao, S Zhang, C Wu - Computer Networks, 2023 - Elsevier
Edge computing offloading can effectively solve the problem of insufficient computing
resources for terminal devices and improve the performance and efficiency of the system …
resources for terminal devices and improve the performance and efficiency of the system …
Dynamic computation offloading with deep reinforcement learning in edge network
Y Bai, X Li, X Wu, Z Zhou - Applied Sciences, 2023 - mdpi.com
With the booming proliferation of user requests in the Internet of Things (IoT) network, Edge
Computing (EC) is emerging as a promising paradigm for the provision of flexible and …
Computing (EC) is emerging as a promising paradigm for the provision of flexible and …
Federated learning-based computation offloading optimization in edge computing-supported internet of things
Recent visualizations of smart cities, factories, healthcare system and etc. raise challenges
on the capability and connectivity of massive Internet of Things (IoT) devices. Hence, edge …
on the capability and connectivity of massive Internet of Things (IoT) devices. Hence, edge …