A green, secure, and deep intelligent method for dynamic IoT-edge-cloud offloading scenarios
To fulfill people's expectations for smart and user-friendly Internet of Things (IoT)
applications, the quantity of processing is fast expanding, and task latency constraints are …
applications, the quantity of processing is fast expanding, and task latency constraints are …
Deep Q-learning technique for offloading offline/online computation in blockchain-enabled green IoT-edge scenarios
The number of Internet of Things (IoT)-related innovations has recently increased
exponentially, with numerous IoT objects being invented one after the other. Where and how …
exponentially, with numerous IoT objects being invented one after the other. Where and how …
DMRO: A deep meta reinforcement learning-based task offloading framework for edge-cloud computing
With the explosive growth of mobile data and the unprecedented demand for computing
power, resource-constrained edge devices cannot effectively meet the requirements of …
power, resource-constrained edge devices cannot effectively meet the requirements of …
An intelligent dynamic offloading from cloud to edge for smart iot systems with big data
Intelligent networking and big data analytics are two important pillars for the operation of
systems. Edge computing is frequently used in smart IoT systems, particularly in those which …
systems. Edge computing is frequently used in smart IoT systems, particularly in those which …
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 …
A novel approach for IoT tasks offloading in edge-cloud environments
J Almutairi, M Aldossary - Journal of cloud computing, 2021 - Springer
Recently, the number of Internet of Things (IoT) devices connected to the Internet has
increased dramatically as well as the data produced by these devices. This would require …
increased dramatically as well as the data produced by these devices. This would require …
A hybrid approach for latency and battery lifetime optimization in IoT devices through offloading and CNN learning
Offloading assists in overcoming the resource constraints of specific elements, making it one
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …
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 …
Autonomic computation offloading in mobile edge for IoT applications
Computation offloading is a protuberant elucidation for the resource-constrained mobile
devices to accomplish the process demands high computation capability. The mobile cloud …
devices to accomplish the process demands high computation capability. The mobile cloud …
Implementation analysis of IoT-based offloading frameworks on cloud/edge computing for sensor generated big data
Abstract The Internet of Things (IoT) applications and services are increasingly becoming a
part of daily life; from smart homes to smart cities, industry, agriculture, it is penetrating …
part of daily life; from smart homes to smart cities, industry, agriculture, it is penetrating …