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.
Alkuperäiskieli | Englanti |
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Otsikko | 2024 9th International Conference on Fog and Mobile Edge Computing (FMEC) |
Kustantaja | IEEE |
Sivut | 22-29 |
ISBN (elektroninen) | 979-8-3503-6648-8 |
DOI - pysyväislinkit | |
Tila | Julkaistu - syysk. 2024 |
OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisussa |
Tapahtuma | International Conference on Fog and Mobile Edge Computing - Malmö, Ruotsi Kesto: 2 syysk. 2024 → 5 syysk. 2024 |
Conference
Conference | International Conference on Fog and Mobile Edge Computing |
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Maa/Alue | Ruotsi |
Kaupunki | Malmö |
Ajanjakso | 2/09/24 → 5/09/24 |
Julkaisufoorumi-taso
- Jufo-taso 1