K Li - IEEE Transactions on Sustainable Computing, 2019 - ieeexplore.ieee.org
Computation offloading from a user equipment (UE) to a mobile edge cloud (MEC) is an effective way to ease the computational burden of mobile devices, to improve the …
F Wei, S Chen, W Zou - China Communications, 2018 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a novel technique that can reduce mobiles' computational burden by tasks offloading, which emerges as a promising paradigm to provide computing …
In this paper, we propose an optimization framework of offloading from a single mobile device (MD) to multiple edge devices. We aim to minimize both total tasks' execution latency …
W Fan, Y Liu, B Tang, F Wu, Z Wang - IEEE Access, 2017 - ieeexplore.ieee.org
Mobile edge computing (MEC) can augment the computation capabilities of mobile terminals (MTs) through offloading the computational tasks from the MTs to the MEC …
Q Wang, S Guo, J Liu, Y Yang - Sustainable Computing: Informatics and …, 2019 - Elsevier
Mobile edge computing is an emerging computing paradigm to augment computational capabilities of mobile devices by offloading computation-intensive tasks from resource …
Q Li, J Zhao, Y Gong - IET communications, 2019 - Wiley Online Library
Mobile edge computing (MEC) is an innovative computing paradigm to enhance the computing capacity of mobile devices (MDs) by offloading computation‐intensive tasks to …
This paper presents an in-depth study and analysis of offloading strategies for lightweight user mobile edge computing tasks using a machine learning approach. Firstly, a scheme for …
D Xu, Q Li, H Zhu - IEEE Communications Letters, 2019 - ieeexplore.ieee.org
In this letter, we consider a multiuser mobile-edge computing (MEC) system with latency constraint. In order to meet the latency requirement and save energy consumption, each …
Mobile edge computing (MEC) brings computation capacity to the edge of mobile networks in close proximity to smart mobile devices (SMDs) and contributes to energy saving …