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https://doi.org/10.21256/zhaw-29464| Publikationstyp: | Konferenz: Paper |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | Root cause and liability analysis in the microservices architecture for edge IoT services |
| Autor/-in: | Kalinagac, Onur Soussi, Wissem Anser, Yacine Gaber, Chrystel Gür, Gürkan |
| et. al: | No |
| DOI: | 10.1109/ICC45041.2023.10279721 10.21256/zhaw-29464 |
| Tagungsband: | ICC 2023 - IEEE International Conference on Communications |
| Seite(n): | 3277 |
| Seiten bis: | 3283 |
| Angaben zur Konferenz: | IEEE International Conference on Communications (ICC), Rome, Italy, 28 May - 1 June 2023 |
| Erscheinungsdatum: | 2023 |
| Verlag / Hrsg. Institution: | IEEE |
| ISBN: | 978-1-5386-7462-8 |
| Sprache: | Englisch |
| Schlagwörter: | Anomaly detection; Root cause analysis; Microservice; Service level agreement; Causal Bayesian network |
| Fachgebiet (DDC): | 004: Informatik |
| Zusammenfassung: | In this work, we present a liability analysis framework for root cause analysis (RCA) in the microservices architecture with IoT-oriented containerized network services. We keep track of the performance metrics of microservices, such as service response time, memory usage and availability, to detect anomalies. By injecting faults in the services, we construct a Causal Bayesian Network (CBN) which represents the relation between service faults and metrics. Service Level Agreement (SLA) data obtained from a descriptor named TRAILS (sTakeholder Responsibility, AccountabIlity and Liability deScriptor) is also used to flag service providers which have failed their commitments. In the case of SLA violation, the constructed CBN is used to predict the fault probability of services under given metric readings and to identify the root cause. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/29464 |
| Volltext Version: | Akzeptierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | School of Engineering |
| Organisationseinheit: | Institut für Informatik (InIT) |
| Publiziert im Rahmen des ZHAW-Projekts: | INtelligent Security and PervasIve tRust for 5G and Beyond (INSPIRE-5Gplus) |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 2023_Kalinagac-etal_Root-cause-liability-analysis-microservice-infrastructure_ICC2023.pdf | Accepted Version | 8.44 MB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
Kalinagac, O., Soussi, W., Anser, Y., Gaber, C., & Gür, G. (2023). Root cause and liability analysis in the microservices architecture for edge IoT services [Conference paper]. ICC 2023 - IEEE International Conference on Communications, 3277–3283. https://doi.org/10.1109/ICC45041.2023.10279721
Kalinagac, O. et al. (2023) ‘Root cause and liability analysis in the microservices architecture for edge IoT services’, in ICC 2023 - IEEE International Conference on Communications. IEEE, pp. 3277–3283. Available at: https://doi.org/10.1109/ICC45041.2023.10279721.
O. Kalinagac, W. Soussi, Y. Anser, C. Gaber, and G. Gür, “Root cause and liability analysis in the microservices architecture for edge IoT services,” in ICC 2023 - IEEE International Conference on Communications, 2023, pp. 3277–3283. doi: 10.1109/ICC45041.2023.10279721.
KALINAGAC, Onur, Wissem SOUSSI, Yacine ANSER, Chrystel GABER und Gürkan GÜR, 2023. Root cause and liability analysis in the microservices architecture for edge IoT services. In: ICC 2023 - IEEE International Conference on Communications. Conference paper. IEEE. 2023. S. 3277–3283. ISBN 978-1-5386-7462-8
Kalinagac, Onur, Wissem Soussi, Yacine Anser, Chrystel Gaber, and Gürkan Gür. 2023. “Root Cause and Liability Analysis in the Microservices Architecture for Edge IoT Services.” Conference paper. In ICC 2023 - IEEE International Conference on Communications, 3277–83. IEEE. https://doi.org/10.1109/ICC45041.2023.10279721.
Kalinagac, Onur, et al. “Root Cause and Liability Analysis in the Microservices Architecture for Edge IoT Services.” ICC 2023 - IEEE International Conference on Communications, IEEE, 2023, pp. 3277–83, https://doi.org/10.1109/ICC45041.2023.10279721.
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