Energy efficient dynamic offloading in mobile edge computing for internet of things

Y Chen, N Zhang, Y Zhang, X Chen… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
With proliferation of computation-intensive Internet of Things (IoT) applications, the limited
capacity of end devices can deteriorate service performance. To address this issue …

TOFFEE: Task offloading and frequency scaling for energy efficiency of mobile devices in mobile edge computing

Y Chen, N Zhang, Y Zhang, X Chen… - … on Cloud Computing, 2019 - ieeexplore.ieee.org
As an emerging computing paradigm, mobile edge computing (MEC) can improve users'
service experience by provisioning the cloud resources close to the mobile devices. With …

Ultra-low latency multi-task offloading in mobile edge computing

H Zhang, Y Yang, X Huang, C Fang, P Zhang - IEEE Access, 2021 - ieeexplore.ieee.org
With the development of computer technology, computational-intensive and delay-sensitive
applications are emerging endlessly, and they are limited by the computing power and …

Dynamic task offloading for mobile edge computing with hybrid energy supply

Y Chen, F Zhao, Y Lu, X Chen - Tsinghua Science and …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC), as a new distributed computing model, satisfies the low
energy consumption and low latency requirements of computation-intensive services. The …

Dynamic offloading and resource scheduling for mobile-edge computing with energy harvesting devices

F Zhao, Y Chen, Y Zhang, Z Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Driven by Internet of Things (IoT) and 5G communication technologies, the paradigm of
mobile computing has changed from centralized mobile cloud computing to distributed …

Joint computation offloading and resource allocation under task-overflowed situations in mobile-edge computing

H Tang, H Wu, Y Zhao, R Li - IEEE Transactions on Network …, 2021 - ieeexplore.ieee.org
With the rapid development of Artificial Intelligence (AI) and Internet of Things (IoT), we have
to perform increasingly more resource-hungry and compute-intensive applications on IoT …

Dynamic energy-saving offloading strategy guided by Lyapunov optimization for IoT devices

Z Tong, J Cai, J Mei, K Li, K Li - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In the Internet of Everything era, various Internet of Things (IoT) devices have become
popular, and the number of computing-intensive applications has increased substantially. As …

A deep learning approach for energy efficient computational offloading in mobile edge computing

Z Ali, L Jiao, T Baker, G Abbas, ZH Abbas… - IEEE Access, 2019 - ieeexplore.ieee.org
Mobile edge computing (MEC) has shown tremendous potential as a means for
computationally intensive mobile applications by partially or entirely offloading computations …

Energy-efficient task offloading and resource scheduling for mobile edge computing

H Yu, Q Wang, S Guo - 2018 IEEE international conference on …, 2018 - ieeexplore.ieee.org
Mobile edge computing is an emerging computing paradigm to augment computational
capabilities of mobile devices by offloading computation-intensive tasks from resource …

Offloading time optimization via Markov decision process in mobile-edge computing

G Yang, L Hou, X He, D He, S Chan… - IEEE internet of things …, 2020 - ieeexplore.ieee.org
Computation offloading from a mobile device to the edge server is an emerging paradigm to
reduce completion latency of intensive computations in mobile-edge computing (MEC). In …