The huge amount of data generated by the Internet of Things (IoT) devices needs the
computational power and storage capacity provided by cloud, edge, and fog computing …

Fog computing has been proposed as an extension of cloud computing to provide
computation, storage, and network services in network edge. For smart manufacturing, fog …

Compared to traditional distributed computing environments such as grids, cloud computing
provides a more cost-effective way to deploy scientific workflows. Each task of a scientific …

Vehicular networks are facing the challenges to support ubiquitous connections and high
quality of service for numerous vehicles. To address these issues, mobile edge computing …

As an emerging computing paradigm, mobile edge computing (MEC) can improve users'
service experience by provisioning the cloud resources close to the mobile devices. With …

Mobile Edge Computing (MEC) offers a way to shorten the cloud servicing delay by building
the small-scale cloud infrastructures at the network edge, which are in close proximity to the …

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

The traditional architecture of fog computing is for one data center and multiple fog nodes. It
is unable to adapt to the current development of private cloud. In addition, virtual machines …

Mobile cloud offloading migrates heavy computation from mobile devices to remote cloud
resources or nearby cloudlets. It is a promising method to alleviate the struggle between …

Mobile edge computing is emerging as a new computing paradigm that provides enhanced
experience to mobile users via low latency connections and augmented computation …