A heuristic offloading method for deep learning edge services in 5G networks

X Xu, D Li, Z Dai, S Li, X Chen - IEEE Access, 2019 - ieeexplore.ieee.org
With the continuous development of the Internet of Things (IoT) and communications
technology, especially under the epoch of 5G, mobile tasks with big scales of data have a …

Smart computational offloading for mobile edge computing in next-generation Internet of Things networks

Z Ali, ZH Abbas, G Abbas, A Numani, M Bilal - Computer Networks, 2021 - Elsevier
Limited battery and computing resources of mobile devices (MDs) induce performance
limitations in mobile edge computing (MEC) networks. Computational offloading has the …

6G-empowered offloading for realtime applications in multi-access edge computing

H Huang, Q Ye, Y Zhou - IEEE Transactions on Network …, 2022 - ieeexplore.ieee.org
Multi-access Edge Computing (MEC) is a promising solution to the resource shortage
problem on mobile devices. With MEC, a fraction of the computational tasks on mobile …

Dynamic task offloading for internet of things in mobile edge computing via deep reinforcement learning

Y Chen, W Gu, K Li - International Journal of Communication …, 2022 - Wiley Online Library
With the development of Internet of Things (IoT), more and more computation‐intensive
tasks are generated by IoT devices. Due to the limitation of battery and computing capacity …

DMRO: A deep meta reinforcement learning-based task offloading framework for edge-cloud computing

G Qu, H Wu, R Li, P Jiao - IEEE Transactions on Network and …, 2021 - ieeexplore.ieee.org
With the explosive growth of mobile data and the unprecedented demand for computing
power, resource-constrained edge devices cannot effectively meet the requirements of …

Advanced deep learning-based computational offloading for multilevel vehicular edge-cloud computing networks

M Khayyat, IA Elgendy, A Muthanna… - IEEE …, 2020 - ieeexplore.ieee.org
The promise of low latency connectivity and efficient bandwidth utilization has driven the
recent shift from vehicular cloud computing (VCC) towards vehicular edge computing (VEC) …

End-edge-cloud collaborative computation offloading for multiple mobile users in heterogeneous edge-server environment

K Peng, H Huang, S Wan, VCM Leung - Wireless Networks, 2020 - Springer
With the drastic development of Internet of things, the number of connected mobile users
(MUs) is increasing at an unprecedented speed. The increasing popularity of MUs has …

Computation offloading with multiple agents in edge-computing–supported IoT

S Shen, Y Han, X Wang, Y Wang - ACM Transactions on Sensor …, 2019 - dl.acm.org
With the development of the Internet of Things (IoT) and the birth of various new IoT devices,
the capacity of massive IoT devices is facing challenges. Fortunately, edge computing can …

Computing offloading strategy in mobile edge computing environment: A comparison between adopted frameworks, challenges, and future directions

S Zhou, W Jadoon, IA Khan - Electronics, 2023 - mdpi.com
With the proliferation of the Internet of Things (IoT) and the development of wireless
communication technologies such as 5G, new types of services are emerging and mobile …

Whispering: Joint service offloading and computation reuse in cloud-edge networks

B Nour, S Mastorakis, A Mtibaa - ICC 2021-IEEE International …, 2021 - ieeexplore.ieee.org
Due to the proliferation of Internet of Things (IoT) and application/user demands that
challenge communication and computation, edge computing has emerged as the paradigm …