The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …

The sales of electric vehicles (EVs) are rapidly increasing and their integration in the power
system is becoming a crucial issue. However, there is a scarcity of necessary data to derive …

Mobile edge computing provides the opportunity for wireless users to exploit the power of
cloud computing without a large communication delay. To serve data-intensive applications …

The aim of multi-output learning is to simultaneously predict multiple outputs given an input.
It is an important learning problem for decision-making since making decisions in the real …

Billions of sensors and devices are connecting to the Internet of Thing (IoT) and generating
massive data which are benefit for smart network systems. However, low-cost, secure, and …

Many mobile and pervasive applications avail cloud services to reduce overheads in on-
device computation. The performance of these services depends on the available bandwidth …

Mobile edge computing is an emerging technology to offer resource-intensive yet delay-
sensitive applications from the edge of mobile networks, where a major challenge is to …

Fog Computing (FC) is a flexible architecture to support distributed domain-specific
applications with cloud-like quality of service. However, current FC still lacks the mobility …

It is a well-known fact that the progress of personal communication devices leads to serious
concerns about privacy in general, and location privacy in particular. As a response to these …

We study the dynamic service migration problem in mobile edge-clouds that host cloud-
based services at the network edge. This offers the benefits of reduction in network …