Big Data in IoT Systems

TL;DR

This paper provides a broad overview of Big Data in IoT systems, highlighting recent technological advances and the evolving landscape driven by machine learning and hardware developments.

Contribution

It offers a high-level perspective on Big Data in IoT, distinguishing between digital economy aspects and Ubiquitous Computing System characteristics.

Findings

Rapid technological progress in machine learning impacts IoT data processing.

Hardware advancements enable new IoT data management techniques.

The overview emphasizes the dynamic and evolving nature of Big Data in IoT.

Abstract

Big Data in IoT is a large and fast-developing area where many different methods and techniques can play a role. Due to rapid progress in Machine Learning and new hardware developments, a dynamic turnaround of methods and technologies can be observed. This overview therefore tries to be broad and highlevel without claiming to be comprehensive. Its approach towards Big Data and IoT is predicated on a distinction between the digital economy and the characteristics of what Robin Milner has described as the Ubiquitous Computing System.