The proliferation of ubiquitous Internet of Things (IoT) sensors and smart devices in several
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …

Close computing paradigms such as fog and edge have become promising technologies for
mobile applications running on pervasive mobile equipment utilized by a wide range of …

A steady increase in Internet-of-Things (IoT) applications needing large-scale computation
and long-term storage has lead to an overreliance on cloud computing. The resulting …

Edge computing leverages computing resources closer to the end-users at the edge of the
network, rather than distant cloud servers in the centralized IoT architecture. Edge …

The fog computing model has emerged as a viable infrastructure for serving IoT applications
in recent years. In the fog ecosystem, it is essential to manage resources for different …

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 …

The fog paradigm extends the cloud capabilities at the edge of the network. Fog computing-
based real-time applications (Online gaming, 5G, Healthcare 4.0, Industrial IoT, autonomous …

Resource provisioning is allocating resources to clients over the Internet and plays a
prominent role in cloud computing infrastructure‐as‐a‐service (IaaS). The main issues of …

Due to the current improvement in self-driving cars and the extensive focus and research on
the topic of the Internet of Vehicles (IoV), the near future may behold a great revolution in the …

The fog-computing paradigm provides low-latency processing and storage between Internet
of Things (IoT) applications and Cloud data centres. Normal IoT activity may produce …