These days, with the emerging developments in wireless communication technologies, such
as 6G and 5G and the Internet of Things (IoT) sensors, the usage of E-Transport applications …

Over the past decade, there has been an increasing demand for mobile devices to perform
computationally intensive tasks. However, the computational capability of these devices is …

Mobile edge computing is proposed as a promising computing paradigm to relieve the
excessive burden of data centers and mobile networks, which is induced by the rapid growth …

With advances in wireless communication technology, more and more people depend
heavily on portable mobile devices for business, entertainments and social interactions. This …

Cloudlet-assisted mobile cloud computing (MCC) emerges as a vital paradigm to address
the problems of mobile services such as application time-out, data caching and traffic …

In the Internet of Vehicles scenario, the in-vehicle terminal cannot meet the requirements of
computing tasks in terms of delay and energy consumption; the introduction of cloud …

Mobile cloud computing has emerged as a pervasive paradigm to execute computing tasks
for capacity-limited mobile devices. More specifically, at the network edge, the resource-rich …

Along with the dramatic increase in the number of IoT devices, different IoT services with
heterogeneous QoS requirements are evolving with the aim of making the current society …

The concept of Multi-access Edge Computing (MEC) extends the provisioning of computing
and storage capabilities from remote Cloud Data Centers (DC) to the proximity of end users …

Abstract Mobile Cloudlet Computing paradigm (MCC) allows execution of resource-
intensive mobile applications using computation cloud resources by exploiting …