Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-28106| Publication type: | Conference poster |
| Type of review: | Peer review (publication) |
| Title: | IoMiRCA : root cause analysis in IoT-extended 5G microservice environments |
| Authors: | Heeb, Zeno Kalinagac, Onur Soussi, Wissem Gür, Gürkan |
| et. al: | No |
| DOI: | 10.1145/3555776.3577840 10.21256/zhaw-28106 |
| Proceedings: | SAC '23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing |
| Page(s): | 106 |
| Pages to: | 108 |
| Conference details: | 38th ACM/SIGAPP Symposium on Applied Computing (ACM SAC), Tallinn, Estonia, 27-31 March 2023 |
| Issue Date: | Jun-2023 |
| Publisher / Ed. Institution: | Association for Computing Machinery |
| Publisher / Ed. Institution: | New York |
| ISBN: | 978-1-4503-9517-5 |
| Language: | English |
| Subjects: | Root cause analysis; IoT; Microservice; Performance monitoring; Anomaly detection |
| Subject (DDC): | 004: Computer science |
| Abstract: | Softwarized services in converged networks are evolving from monolithic applications to distributed architectures, often comprising numerous microservices. At the same time, with the massive proliferation of IoT devices, much more complexity and diversity are added to such critical infrastructures. In that regard, Root Cause Analysis (RCA) is an important part of a running distributed service ecosystem to keep the applications available and manageable by finding the root causes of errors and malfunctions. This paper provides a topology graph-based anomaly detection and RCA solution for the microservice architecture in edge-to-cloud environments entailing microservices in combination with IoT. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/28106 |
| Fulltext version: | Accepted version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Computer Science (InIT) |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2023_Heeb-etal_IoMiRCA-Poster.pdf | Accepted Version | 133.97 kB | Adobe PDF |  View/Open |
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Heeb, Z., Kalinagac, O., Soussi, W., & Gür, G. (2023). IoMiRCA : root cause analysis in IoT-extended 5G microservice environments [Conference poster]. SAC ’23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 106–108. https://doi.org/10.1145/3555776.3577840
Heeb, Z. et al. (2023) ‘IoMiRCA : root cause analysis in IoT-extended 5G microservice environments’, in SAC ’23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing. New York: Association for Computing Machinery, pp. 106–108. Available at: https://doi.org/10.1145/3555776.3577840.
Z. Heeb, O. Kalinagac, W. Soussi, and G. Gür, “IoMiRCA : root cause analysis in IoT-extended 5G microservice environments,” in SAC ’23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, Jun. 2023, pp. 106–108. doi: 10.1145/3555776.3577840.
HEEB, Zeno, Onur KALINAGAC, Wissem SOUSSI und Gürkan GÜR, 2023. IoMiRCA : root cause analysis in IoT-extended 5G microservice environments. In: SAC ’23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing. Conference poster. New York: Association for Computing Machinery. Juni 2023. S. 106–108. ISBN 978-1-4503-9517-5
Heeb, Zeno, Onur Kalinagac, Wissem Soussi, and Gürkan Gür. 2023. “IoMiRCA : Root Cause Analysis in IoT-Extended 5G Microservice Environments.” Conference poster. In SAC ’23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 106–8. New York: Association for Computing Machinery. https://doi.org/10.1145/3555776.3577840.
Heeb, Zeno, et al. “IoMiRCA : Root Cause Analysis in IoT-Extended 5G Microservice Environments.” SAC ’23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, Association for Computing Machinery, 2023, pp. 106–8, https://doi.org/10.1145/3555776.3577840.
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