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 …

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 …

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 …

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 …

Mobile Edge Computing (MEC) is a promising architecture to reduce the energy
consumption of mobile devices and provide satisfactory quality-of-service to time-sensitive …

The incorporation of dynamic voltage scaling technology into computation offloading offers
more flexibilities for mobile edge computing. In this paper, we investigate partial computation …

Mobile edge computing has been proposed in recent years to offload computation tasks
from user equipments (UEs) to the network edge to break hardware limitations and resource …

With proliferation of computation-intensive Internet of Things (IoT) applications, the limited
capacity of end devices can deteriorate service performance. To address this issue …

By Mobile Edge Computing (MEC), computation-intensive tasks are offloaded from mobile
devices to cloud servers, and thus the energy consumption of mobile devices can be notably …

Abstract Mobile Edge Computing (MEC) has been considered a promising solution that can
address capacity and performance challenges in legacy systems such as Mobile Cloud …