Fog computing is an evolving paradigm that addresses the latency-oriented performance
and spatio-temporal issues of the cloud services by providing an extension to the cloud …

Feature ranking and selection is a widely used approach in various applications of
supervised dimensionality reduction in discriminative machine learning. Nevertheless there …

With increasing computation-intensive tasks of various applications running on mobile
devices, the limitation of computing resources and battery capacity on mobile devices makes …

IoT is one of the most prolific origins of data that is collected from sensory inputs. IoT devices
are characterized by low computational power, thus motivating the computation offloading …

Wi-Fi offloading in fog networks is believed to be one of the best ways to solve the significant
data increase in cellular networks, since nodes located close by are used as relays for …

Backed by the virtually unbounded resources of the cloud, battery-powered mobile robotics
can also benefit from cloud computing, meeting the demands of even the most …

The edge computing paradigm is featured by the ability to off-load computing tasks from
mobile devices to edge clouds and provide high cost-efficient computing resources, storage …

Edge computing is a hot research topic given the ever-increasing requirements of mobile
applications in terms of computation and communication and the emerging Internet-of …

With the development of global urbanization, the Internet of Things (IoT) and smart cities are
becoming hot research topics. As an emerging model, edge computing can play an …

With the continuous progress of edge computing technology and the development of the
Internet of Things technology, scenarios such as smart transportation, smart home, and …