Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …

Driven by the visions of Internet of Things and 5G communications, recent years have seen
a paradigm shift in mobile computing, from the centralized mobile cloud computing toward …

With the rapid increase in the development of the Internet of Things and 5G networks in the
smart city context, a large amount of data (ie, big data) is expected to be generated, resulting …

Fog computing is a new paradigm that extends the Cloud platform model by providing
computing resources on the edges of a network. It can be described as a cloud-like platform …

Mobile applications are becoming increasingly computation-intensive, while the computing
capability of portable mobile devices is limited. A powerful way to reduce the completion …

Resource management in a cloud environment is a hard problem, due to: the scale of
modern data centers; the heterogeneity of resource types and their interdependencies; the …

Major interest is currently given to the integration of clusters of virtualization servers, also
referred to ascloudlets' oredge clouds', into the access network to allow higher performance …

Mobile cloud computing is emerging as a main ubiquitous computing platform to provide rich
cloud resources for various applications of mobile devices. Although most existing studies in …

In this paper, we investigate the problem of multiuser computation offloading for cloudlet-
based mobile cloud computing in a multichannel wireless contention environment. The …

The multitiered concept of Internet of Things (IoT) devices, cloudlets, and clouds is
facilitating a user-centric IoT. However, in such three tier network, it is still desirable to …