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 …

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 …

Abstract Mobile Edge Computing (MEC)-based computation offloading is a promising
application paradigm for serving large numbers of users with various delay and energy …

Mobile edge computing (MEC) utilizes wireless access network to provide powerful
computing resources for mobile users to improve the user experience, which mainly …

Mobile edge computing (MEC) is an emerging computational paradigm for providing storage
and computing capabilities in network edge, to improve the experience of users, to shorten …

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 …

For the current research on computing offloading, most of them only considers the multi-user
task offloading decision problem or only considers the wireless resource and computing …

Mobile edge computing (MEC) is a promising technique to enhance computation capacity at
the edge of mobile networks. The joint problem of partial offloading decision, offloading …

Mobile-edge cloud computing, an emerging and prospective computing paradigm, can
facilitate the complex application execution on resource-constrained mobile devices by …