As high quality real-time service demands on smart device applications are rapidly
increasing, offloading the application task to the edge server to reduce total response time is …

The rapid growth of IoT devices and applications with data-intensive processing has led to
energy consumption and latency concerns. These applications tend to offload task …

Mobile edge computing (MEC) allows user devices to offload computing tasks to edge
servers, which are deployed close to users, for fast execution, short delay and energy …

Task offloading to mobile edge computing (MEC) has emerged as a key technology to
alleviate the computation workloads of mobile devices and decrease service latency for the …

With the rapid development in the area of Internet of Things (IoT), the number of delay-
sensitive and power-hungry IoT applications has drastically increased over the past few …

Mobile edge computing is an emerging computing paradigm to augment computational
capabilities of mobile devices by offloading computation-intensive tasks from resource …

By offloading computation-intensive and latency-sensitive tasks from mobile devices to the
mobile edge server, mobile edge computing (MEC) has been considered as a promising …

Advances in communication technologies have made the interaction of small devices, such
as smartphones, wearables, and sensors, scattered on the Internet, bringing a whole new …

Energy consumption is one of the most important issues for mobile devices such as
smartphones and laptops. For mobile devices that execute multiple computation-intensive or …

Task offloading with Mobile-Edge Computing (MEC) is envisioned as a promising technique
for prolonging battery lifetime and enhancing the computation capacity of mobile devices. In …