Edge and Fog computing paradigms overcome the limitations of cloud-centric execution for
different latency-sensitive Internet of Things (IoT) applications by offering computing …

Edge/Fog computing is a novel computing paradigm that provides resource-limited Internet
of Things (IoT) devices with scalable computing and storage resources. Compared to cloud …

Resource management is the principal factor to fully utilize the potential of Edge/Fog
computing to execute real-time and critical IoT applications. Although some resource …

Fog computing (also known as edge computing) is a decentralized computing architecture
that seeks to minimize service latency and average response time in IoT applications by …

Research in the Internet of Things (IoT) conceives a world where everyday objects are
connected to the Internet and exchange, store, process, and collect data from the …

In recent years, the number of Internet of Things (IoT) devices/sensors has increased to a
great extent. To support the computational demand of real-time latency-sensitive …

The prevalence of ubiquitous computing devices encouraged by the expanding technology
trend of the Internet of Things (IoT) demands a change in how these devices are used and …

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 …

Emerging IoT applications with stringent requirements on latency and data processing have
posed many challenges to cloud-centric platforms for Smart Cities. Recently, Fog Computing …

Fog computing is strongly emerging as a relevant and interest-attracting paradigm+
technology for both the academic and industrial communities. However, architecture and …