Visualizing Streaming Data in Industrial Scale IoT Systems
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| Titel: | Visualizing Streaming Data in Industrial Scale IoT Systems |
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| Autoren: | Antero Taivalsaari, Tommi Mikkonen |
| Quelle: | Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing. :663-670 |
| Verlagsinformationen: | ACM, 2025. |
| Publikationsjahr: | 2025 |
| Schlagwörter: | IoT, message brokers, edge computing, programmable world, reunalaskenta, Internet of Things, data visualization, esineiden internet, fog computing, streaming data, stream processing, tietojärjestelmät |
| Beschreibung: | 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 |
| Publikationsart: | Article Conference object |
| Dateibeschreibung: | application/pdf; fulltext |
| DOI: | 10.1145/3672608.3707790 |
| Zugangs-URL: | http://urn.fi/URN:NBN:fi:jyu-202505194336 |
| Rights: | CC BY |
| Dokumentencode: | edsair.doi.dedup.....5d4335dd17f3fe29c7e39f53980c4c0f |
| Datenbank: | OpenAIRE |
Nájsť tento článok vo Web of Science | 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.<br />peerReviewed |
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| DOI: | 10.1145/3672608.3707790 |