Multitask offloading strategy optimization based on directed acyclic graphs for edge computing
With the advancement of the user application service demands, the IoT system tends to
offload the tasks to the edge server for execution. Most of the current studies on edge …
offload the tasks to the edge server for execution. Most of the current studies on edge …
Multi-user offloading for edge computing networks: A dependency-aware and latency-optimal approach
Driven by the tremendous application demands, the Internet of Things (IoT) systems are
expected to fulfill computation-intensive and latency-sensitive sensing and computational …
expected to fulfill computation-intensive and latency-sensitive sensing and computational …
Dependency-aware and latency-optimal computation offloading for multi-user edge computing networks
With the various emerging innovative applications, the Internet-of-Things (IoT) systems are
expected to fulfill more computation-intensive and latency-sensitive sensing and …
expected to fulfill more computation-intensive and latency-sensitive sensing and …
Graph-reinforcement-learning-based task offloading for multiaccess edge computing
Z Sun, Y Mo, C Yu - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Network applications involve massive heterogeneous data fusion and analysis. Artificial
intelligence can significantly improve the convenience and user experience, but it requires a …
intelligence can significantly improve the convenience and user experience, but it requires a …
Dependent tasks offloading based on particle swarm optimization algorithm in multi-access edge computing
S Ma, S Song, L Yang, J Zhao, F Yang, L Zhai - Applied Soft Computing, 2021 - Elsevier
The proliferation of emerging applications such as augmented reality, face recognition, and
autonomous driving have stimulated the growth of demand for low-latency services, while …
autonomous driving have stimulated the growth of demand for low-latency services, while …
Joint optimization for task offloading in edge computing: An evolutionary game approach
C Dong, W Wen - Sensors, 2019 - mdpi.com
The mobile edge computing (MEC) paradigm provides a promising solution to solve the
resource-insufficiency problem in mobile terminals by offloading computation-intensive and …
resource-insufficiency problem in mobile terminals by offloading computation-intensive and …
Intelligent delay-aware partial computing task offloading for multiuser industrial internet of things through edge computing
The development of Industrial Internet of Things (IIoT) and Industry 4.0 has completely
changed the traditional manufacturing industry. Intelligent IIoT technology usually involves a …
changed the traditional manufacturing industry. Intelligent IIoT technology usually involves a …
Cloud-edge collaboration in industrial internet of things: A joint offloading scheme based on resource prediction
With the continuous addition of an abundant of heterogeneous devices, the limitation of task
delay has become an obstacle to the development of the Industrial Internet of Things (IIoT) …
delay has become an obstacle to the development of the Industrial Internet of Things (IIoT) …
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 …
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) …