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https://doi.org/10.1145/367260...
Article . 2025 . Peer-reviewed
License: CC BY
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Visualizing Streaming Data in Industrial Scale IoT Systems

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 31 Mar 2025 Finland Publisher:ACMJournal:Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing
Authors: Antero Taivalsaari; Tommi Mikkonen;

doi: 10.1145/3672608.3707790

Visualizing Streaming Data in Industrial Scale IoT Systems

Abstract

In a complex IoT system with thousands of data streams, it can be difficult to comprehend the overall dynamic state of the system while also being able to quickly detect and pinpoint problems that occur in individual devices and streams. Over the years, we have experimented with a variety of techniques for visualizing large-scale streaming data systems to enable viewing of their behavior in a quick, "at-a-glance" fashion. In this paper we summarize the lessons that we have learned over the years, as well as provide an overview of the Haywire system that we have developed in response to the visualization challenges that arise in the context of industrial scale IoT systems.

peerReviewed

Country
Finland
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Keywords

IoT, message brokers, edge computing, programmable world, reunalaskenta, Internet of Things, data visualization, esineiden internet, fog computing, streaming data, stream processing, tietojärjestelmät

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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Average
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