In recent years, the Internet of Things (IoT) has been one of the most popular technologies
that facilitate new interactions among things and humans to enhance the quality of life. With …

In recent years, fog computing, a novel paradigm, has emerged for location and latency‐
sensitive applications. It is a powerful complement for cloud computing that enables …

Fog/Edge computing emerges as a novel computing paradigm that harnesses resources in
the proximity of the Internet of Things (IoT) devices so that, alongside with the cloud servers …

City Internet-of-Things (IoT) applications are becoming increasingly complicated and thus
require large amounts of computational resources and strict latency requirements. Mobile …

The marketplace for Internet of Things (IoT)-enabled smart systems is rapidly expanding.
The integration of Fog and Cloud paradigm aims at harnessing both edge device and …

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

With the increasing popularity of Internet of Things (IoT) applications in many different areas,
the round-trip delay of data processing in the cloud affect the user's quality perception. But …

The Cloud computing has already proven its worth to manage the computational-intensive
tasks of IoT applications. Despite its popularity, Cloud is not recommended for latency …

As the IoT is evolving day by day in order to provide optimal services to end users, various
Emerging technologies of clouds are being integrated with cloud IoT to provide seamless …

Fog computing, as an Internet of Things (IoT) technology, transfers data processing
capabilities to near objects and users. So, by closing process capabilities to end-users and …