Root cause and liability analysis in the microservices architecture for edge IoT services

Kalinagac, Onur; Soussi, Wissem; Anser, Yacine; Gaber, Chrystel; Gür, Gürkan

doi:10.1109/ICC45041.2023.10279721

Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-29464

Full metadata record

DC Field	Value	Language
dc.contributor.author	Kalinagac, Onur	-
dc.contributor.author	Soussi, Wissem	-
dc.contributor.author	Anser, Yacine	-
dc.contributor.author	Gaber, Chrystel	-
dc.contributor.author	Gür, Gürkan	-
dc.date.accessioned	2024-01-04T13:05:21Z	-
dc.date.available	2024-01-04T13:05:21Z	-
dc.date.issued	2023	-
dc.identifier.isbn	978-1-5386-7462-8	de_CH
dc.identifier.uri	https://digitalcollection.zhaw.ch/handle/11475/29464	-
dc.description.abstract	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.	de_CH
dc.language.iso	en	de_CH
dc.publisher	IEEE	de_CH
dc.rights	Licence according to publishing contract	de_CH
dc.subject	Anomaly detection	de_CH
dc.subject	Root cause analysis	de_CH
dc.subject	Microservice	de_CH
dc.subject	Service level agreement	de_CH
dc.subject	Causal Bayesian network	de_CH
dc.subject.ddc	004: Informatik	de_CH
dc.title	Root cause and liability analysis in the microservices architecture for edge IoT services	de_CH
dc.type	Konferenz: Paper	de_CH
dcterms.type	Text	de_CH
zhaw.departement	School of Engineering	de_CH
zhaw.organisationalunit	Institut für Informatik (InIT)	de_CH
dc.identifier.doi	10.1109/ICC45041.2023.10279721	de_CH
dc.identifier.doi	10.21256/zhaw-29464	-
zhaw.conference.details	IEEE International Conference on Communications (ICC), Rome, Italy, 28 May - 1 June 2023	de_CH
zhaw.funding.eu	info:eu-repo/grantAgreement/EC/H2020/871808//INtelligent Security and PervasIve tRust for 5G and Beyond/INSPIRE-5Gplus	de_CH
zhaw.originated.zhaw	Yes	de_CH
zhaw.pages.end	3283	de_CH
zhaw.pages.start	3277	de_CH
zhaw.publication.status	acceptedVersion	de_CH
zhaw.publication.review	Peer review (Publikation)	de_CH
zhaw.title.proceedings	ICC 2023 - IEEE International Conference on Communications	de_CH
zhaw.webfeed	Information Security	de_CH
zhaw.funding.zhaw	INtelligent Security and PervasIve tRust for 5G and Beyond (INSPIRE-5Gplus)	de_CH
zhaw.author.additional	No	de_CH
zhaw.display.portrait	Yes	de_CH
Appears in collections:	Publikationen School of Engineering

Files in This Item:

File	Description	Size	Format
2023_Kalinagac-etal_Root-cause-liability-analysis-microservice-infrastructure_ICC2023.pdf	Accepted Version	8.44 MB	Adobe PDF	View/Open

Show simple item record

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.