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Toward Becoming a Data-Driven Organization: Challenges and Benefits Read chapter Read first chapter

2020 | OriginalPaper | Chapter

IoT Analytics Architectures: Challenges, Solution Proposals and Future Research Directions

Authors : Theo Zschörnig, Robert Wehlitz, Bogdan Franczyk

Published in: Research Challenges in Information Science

Publisher: Springer International Publishing

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Abstract

The Internet of Things (IoT) presents an extensive area for research, based on its growing importance in a multitude of different domains of everyday life, business and industry. In this context, different aspects of data analytics, e.g. algorithms or system architectures, as well as their scientific investigation play a pivotal role in the advancement of the IoT. Therefore, past research has presented a multitude of architectural approaches to enable data processing and analytics in various IoT domains, addressing different architectural challenges. In this paper, we identify and present an overview of these challenges as well as existing architectural proposals. Furthermore, we categorize found architectural proposals along various dimensions in order to highlight the evolution of research in this field and pinpoint architectural shortcomings. The results of this paper show that several challenges have been addressed by a large number of IoT system architectures for data analytics while others are either not relevant for certain domains or need further investigation. Finally, we offer points of reference for future research based on the findings of this paper.

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Footnotes
4
The data collection form of the mapping of architectures versus challenges can be found at: https://​github.​com/​zsco/​IoT-Analytics-Architectures-Challenges/​blob/​master/​architecturesVsC​hallenges.​md.
 
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Metadata
Title
IoT Analytics Architectures: Challenges, Solution Proposals and Future Research Directions
Authors
Theo Zschörnig
Robert Wehlitz
Bogdan Franczyk
Copyright Year
2020
Book
Research Challenges in Information Science

Print ISBN: 978-3-030-50315-4

Electronic ISBN: 978-3-030-50316-1

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-50316-1_5

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