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Authors: Theo Zschörnig 1 ; Robert Wehlitz 1 and Bogdan Franczyk 2

Affiliations: 1 Institute for Applied Informatics (InfAI), Leipzig University, Goerdelerring 9, 04109 Leipzig and Germany ; 2 Information Systems Institute, Leipzig University, Grimmaische Str. 12, 04109 Leipzig, Germany, Business Informatics Institute, Wrocław University of Economics, ul. Komandorska 118-120, 53-345 Wrocław and Poland

ISBN: 978-989-758-372-8

Keyword(s): Smart Home, Fog Computing, Internet of Things, Analytics Architecture.

Abstract: Although the usage of smart home devices such as smart speakers, light bulbs and thermostats has increased rapidly in the past years, their added value, compared to conventional devices, is mostly limited to simple control and automation logic. In order to provide adaptive smart home environments, it is necessary to gain deeper insights into the data generated by these devices and use it in sophisticated data processing pipelines. Providing such analytics to a multitude of consumers requires specialised architectures, which are able to overcome various challenges identified by scientific literature. Currently available smart home analytics architectures are not designed to tackle all of these issues, specifically fault-tolerance, network-usage, latency and external regulations. In this paper, we propose an architectural solution to address these challenges based on the concept of Fog computing. Furthermore, we provide insight into the motivation for this research as well as an overvie w of the current state of the art in this field. (More)

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Paper citation in several formats:
Zschörnig, T.; Wehlitz, R. and Franczyk, B. (2019). A Fog-enabled Smart Home Analytics Platform.In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-372-8, pages 616-622. DOI: 10.5220/0007750006160622

@conference{iceis19,
author={Theo Zschörnig. and Robert Wehlitz. and Bogdan Franczyk.},
title={A Fog-enabled Smart Home Analytics Platform},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2019},
pages={616-622},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007750006160622},
isbn={978-989-758-372-8},
}

TY - CONF

JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A Fog-enabled Smart Home Analytics Platform
SN - 978-989-758-372-8
AU - Zschörnig, T.
AU - Wehlitz, R.
AU - Franczyk, B.
PY - 2019
SP - 616
EP - 622
DO - 10.5220/0007750006160622

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