Abstract Many Internet of Things (IoT) systems generate a massive amount of data needing
to be processed and stored efficiently. Cloud computing solutions are often used to handle …

Increasing the implication of IoT data puts a focus on extracting the knowledge from sensors'
raw data. The management of sensors' data is inefficient with current solutions, as studies …

Data collected and processed by IoT devices need to be managed and secured to ensure
their integrity, confidentiality, and availability. In light of the proliferation of IoT across various …

Recent trends like the (Industrial) Internet of Things and Industry 4.0 lead to highly integrated
machines and thus to greater challenges in dealing with data, mostly with respect to its …

The fifth generation (5G) mobile network is a new generation of broadband mobile
communication technology with the potential to address the increasing demands of new …

As research in the Internet-of-Things area progresses, and a multitude of proposals exist to
solve various problems, the need for a general principled software engineering approach for …

Geospatial data analysis is an emerging area of research today due to the potential to
enable varied location-aware services. The existing centralized cloud-based analysis …

With the development of intelligent hardware technology, the heterogeneity of IoT devices in
the edge and end layers, and diversity of application scenarios bring unprecedented …

Die digitale Transformation verändert weltweit Branchen, Organisationen und
Gesellschaften durch das exponentielle Wachstum von Daten. Diese Daten, ob offen oder …

Cloud is being utilized by the majority of Internet users. Businesses storing their critical
information in the cloud have increased over the ages due to simplistic and attractive …