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 …
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 …
Task offloading and resource allocation algorithm based on deep reinforcement learning for distributed AI execution tasks in IoT edge computing environments
Recently, the application of Artificial Intelligence (AI) in the Internet of Things (IoT) devices is
increasing. As these devices are limited in processing and storing massive computations of …
increasing. As these devices are limited in processing and storing massive computations of …
A meta reinforcement learning-based task offloading strategy for IoT devices in an edge cloud computing environment
H Yang, W Ding, Q Min, Z Dai, Q Jiang, C Gu - Applied Sciences, 2023 - mdpi.com
Developing an effective task offloading strategy has been a focus of research to improve the
task processing speed of IoT devices in recent years. Some of the reinforcement learning …
task processing speed of IoT devices in recent years. Some of the reinforcement learning …
A computational offloading optimization scheme based on deep reinforcement learning in perceptual network
Currently, the deep integration of the Internet of Things (IoT) and edge computing has
improved the computing capability of the IoT perception layer. Existing offloading techniques …
improved the computing capability of the IoT perception layer. Existing offloading techniques …
Reinforcement-learning-based software-defined edge task allocation algorithm
T Zhang, X Zhu, C Wu - Electronics, 2023 - mdpi.com
With the rapid growth in the number of IoT devices at the edge of the network, fast, flexible
and secure edge computing has emerged, but the disadvantage of the insufficient …
and secure edge computing has emerged, but the disadvantage of the insufficient …
Collaborative cloud-edge-end task offloading with task dependency based on deep reinforcement learning
T Tang, C Li, F Liu - Computer Communications, 2023 - Elsevier
With the explosive growth of the Internet of Things (IoT), IoT devices generate massive
amounts of data and demand, which poses a huge challenge to IoT devices with limited …
amounts of data and demand, which poses a huge challenge to IoT devices with limited …
Multitask multiobjective deep reinforcement learning-based computation offloading method for industrial Internet of Things
J Cai, H Fu, Y Liu - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Edge computing has emerged as a promising paradigm to deploy computing resources to
the network edge. However, most existing computation offloading strategies consider only …
the network edge. However, most existing computation offloading strategies consider only …
Towards optimal edge resource utilization: Predictive analytics and reinforcement learning for task offloading
Edge computing brings computation closer to the user devices. This proximity allows user
devices with limited resources to execute complex and computation-intensive tasks on the …
devices with limited resources to execute complex and computation-intensive tasks on the …
Distributed edge computing offloading algorithm based on deep reinforcement learning
Y Li, F Qi, Z Wang, X Yu, S Shao - IEEE Access, 2020 - ieeexplore.ieee.org
As a mode of processing task request, edge computing paradigm can reduce task delay and
effectively alleviate network congestion caused by the proliferation of Internet of things (IoT) …
effectively alleviate network congestion caused by the proliferation of Internet of things (IoT) …