A Cloud-based Analytics Architecture for the Application of Online Machine Learning Algorithms on Data Streams in Consumer-centric Internet of Things Domains

Theo Zschörnig, Jonah Windolph, Robert Wehlitz, Bogdan Franczyk

Abstract

The increasing number of smart devices in private households has lead to a large quantity of smart homes worldwide. In order to gain meaningful insights into their generated data and offer extended information and added value for consumers, data analytics architectures are essential. In addition, the development and improvement of machine learning techniques and algorithms in the past years has lead to the availability of powerful analytics tools, which have the potential to allow even more sophisticated insights at the cost of changed challenges and requierements for analytics architectures. However, architectural solutions, which offer the ability to deploy flexible, machine learning-based analytics pipelines on streaming data, are missing in research as well as in industry. In this paper, we present the motivation and a concept for machine learning-based data processing on streaming data for consumer-centric Internet of Things domains, such as smart home. This approach was evaluated in terms of its performance and may serve as a basis for further development and discussion.

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Paper Citation


in Harvard Style

Zschörnig T., Windolph J., Wehlitz R. and Franczyk B. (2020). A Cloud-based Analytics Architecture for the Application of Online Machine Learning Algorithms on Data Streams in Consumer-centric Internet of Things Domains.In Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-426-8, pages 189-196. DOI: 10.5220/0009339501890196


in Bibtex Style

@conference{iotbds20,
author={Theo Zschörnig and Jonah Windolph and Robert Wehlitz and Bogdan Franczyk},
title={A Cloud-based Analytics Architecture for the Application of Online Machine Learning Algorithms on Data Streams in Consumer-centric Internet of Things Domains},
booktitle={Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2020},
pages={189-196},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009339501890196},
isbn={978-989-758-426-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - A Cloud-based Analytics Architecture for the Application of Online Machine Learning Algorithms on Data Streams in Consumer-centric Internet of Things Domains
SN - 978-989-758-426-8
AU - Zschörnig T.
AU - Windolph J.
AU - Wehlitz R.
AU - Franczyk B.
PY - 2020
SP - 189
EP - 196
DO - 10.5220/0009339501890196