Haywire: A System for Visualizing and Analyzing Streaming IoT Data

Tutkimustuotos: KonferenssiartikkeliTieteellinenvertaisarvioitu

Abstrakti

In recent years there has been a notable trend towards streaming data systems. The Internet of Things has transformed the Internet into a massive collection of live data streams. These streams range from slowly trickling sensor data from, e.g., residential water or gas meters to very bandwidth-hungry high-definition 360 degree live video streams. In a complex IoT system with thousands of data streams, one of the challenges for system developers and maintainers is the ability to ensure that data in all streams is flowing normally. In this paper we present a system for visualizing streaming data in a quick “at-a-glance” fashion. The Haywire system constructs and dynamically maintains a live 3D graph representation of all streams, and presents the streams in a graphical Web UI with force-directed layout. The user interface includes detailed message statistics and the ability to quickly dive deeper into individual streams if any anomalies are detected in their behavior.
AlkuperäiskieliEnglanti
Otsikko2024 9th International Conference on Fog and Mobile Edge Computing (FMEC)
KustantajaIEEE
Sivut22-29
ISBN (elektroninen)979-8-3503-6648-8
DOI - pysyväislinkit
TilaJulkaistu - syysk. 2024
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Conference on Fog and Mobile Edge Computing - Malmö, Ruotsi
Kesto: 2 syysk. 20245 syysk. 2024

Conference

ConferenceInternational Conference on Fog and Mobile Edge Computing
Maa/AlueRuotsi
KaupunkiMalmö
Ajanjakso2/09/245/09/24

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