Sending data to the cloud for analysis was a prominent trend during the past decades,
driving cloud computing as a dominant computing paradigm. However, the dramatically …

Technological evolution of mobile user equipment (TIEs), such as smartphones or laptops,
goes hand-in-hand with evolution of new mobile applications. However, running …

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 …

We consider a general multi-user mobile cloud computing system with a computing access
point (CAP), where each mobile user has multiple independent tasks that may be processed …

With the maturity of 5G cellular communication systems and mobile-edge computing (MEC),
a large number of base stations (BSs) with edge-computing servers are densely deployed …

Fog computing combines cloud services with geographically distributed resources near the
network edge to offer computational offloading possibilities to end devices, featuring low …

We consider a general multi-user mobile cloud computing system where each mobile user
has multiple independent tasks. These mobile users share the communication resource …

We consider a general multi-user mobile cloud computing (MCC) system where each mobile
user has multiple independent tasks. These mobile users share the computation and …

Next generation communication networks are expected to accommodate a high number of
new and resource-voracious applications that can be offered to a large range of end users …

Fog computing leverages the computational resources at the network edge to meet the
increasing demand for latency-sensitive applications in large-scale industries. In this article …