Exploring new insights from IoT data means not only providing higher-level intelligence in a
timely way but also generating long-term predictions and decisions from historical IoT data …

In this paper we are interested in exploring the Edge-Fog-Cloud architecture as an
alternative approach to the Cloud-based IoT data analytics. Given the limitations of Fog in …

As data collected through IoT systems worldwide increases and the deployment of IoT
architectures is expanded across multiple domains, novel frameworks that focus on …

Abstract The Internet of Things (IoT) is expected to grow faster than any other category of
connected devices. IoT allows any device with an on-and-off switch to connect to the internet …

The proliferation of Internet of Things (IoT) devices has led to an exponential growth in data
generated at the edge of the network. Edge computing, a distributed computing paradigm …

Several web-based platforms have emerged to ease the development of interactive or near
real-time IoT applications by providing a way to connect things and services together and …

The massive number of Internet of Thing (IoT) devices and their continuous data collection
will lead to a rapid increase in the scale of collected data. Processing all these collected …

Internet of Things applications are based on ubiquitous networks of multiple distributed
devices, with limited computing resources and power, capable of collecting and storing data …

The increasing adoption of the Internet of Things (IoT) paradigm in structuring services for
“smart cities” has led to an explosion of data generated, ingested, processed, and stored in …

Edge computing promotes the execution of complex computational processes without the
cloud, ie, on top of the heterogeneous, articulated, and possibly mobile systems composed …