The latest results in Deep Neural Networks (DNNs) have greatly improved the accuracy and
performance of a variety of intelligent applications. However, running such computation …

Mobile cloud computing is a platform that has been used to overcome the challenges of
mobile computing. However, emerging data-intensive applications, such as face recognition …

In the mobile cloud computing (MCC), although offloading requests to the distant central
cloud or nearby cloudlet can reduce energy consumption at the mobile devices (MDs), it …

Network slicing is a promising approach for enabling low latency computation offloading in
edge computing systems. In this paper, we consider an edge computing system under …

Mobile cloud computing is emerging as a promising approach to enrich user experiences at
the mobile device end. Computation offloading in a heterogeneous mobile cloud …

Edge cloud is a promising architecture in order to address the latency problem in mobile
cloud computing. However, as compared with remote clouds, edge clouds have limited …

Recently, mobile edge computing has received widespread attention, which provides
computing infrastructure via pushing cloud computing, network control, and storage to the …

We propose a novel network architecture by leveraging the cloudlet concept, the software
defined networking technology, and the cellular network infrastructure to bring the …

Cloudlets are small self maintained clouds, with hotspot like deployment, to enhance the
computational capabilities of the mobile devices. The limited resources of cloudlets can …

Mobile edge computing (MEC) is emerging as a cornerstone technology to address the
conflict between resource-constrained smart devices (SDs) and the ever-increasing …