The Internet of Things landscape has grown steadily over the last decade, fueling digital
transformation. Data is now regarded as a precious asset. As a result, many companies …

With the rapid growth of the Internet of Things (IoT), 5G networks and beyond, the computing
paradigm for intelligent IoT systems is shifting from conventional centralizedcloud computing …

Edge computing and the Internet of Things (IoT) are irrevocably intertwined and much work
has proposed enhancing the IoT through the use of edge computing. These solutions have …

As data analytics and machine learning increasingly permeate our cities, factories, and
homes, the computing infrastructure for data-intensive systems becomes more challenging …

In the present-day scenario, computing is migrating from the on-premises server to the cloud
server and now, progressively from the cloud to Edge server where the data is gathered from …

The arising Internet of Things (IoT) will require significant changes to current stream
processing engines (SPEs) to enable large-scale IoT applications. In this paper, we present …

The amount of data generated by sensors, actuators, and other devices in the Internet of
Things (IoT) has substantially increased in the last few years. IoT data are currently …

The Internet of Things (IoT) has created a ubiquitously connected world powered by a
multitude of wired and wireless sensors generating a variety of heterogeneous data over …

Intelligent applications in several areas increasingly rely on big data solutions to improve
their efficiency, but the processing and management of big data incur high costs. Although …

The advent of new computing and communication trends that link pervasive data sources
and consumers, such as Edge Computing, 5G and IIoT, has led to the development of the …