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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-28106
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dc.contributor.authorHeeb, Zeno-
dc.contributor.authorKalinagac, Onur-
dc.contributor.authorSoussi, Wissem-
dc.contributor.authorGür, Gürkan-
dc.date.accessioned2023-06-22T13:33:40Z-
dc.date.available2023-06-22T13:33:40Z-
dc.date.issued2023-06-
dc.identifier.isbn978-1-4503-9517-5de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/28106-
dc.description.abstractSoftwarized 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.de_CH
dc.language.isoende_CH
dc.publisherAssociation for Computing Machineryde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectRoot cause analysisde_CH
dc.subjectIoTde_CH
dc.subjectMicroservicede_CH
dc.subjectPerformance monitoringde_CH
dc.subjectAnomaly detectionde_CH
dc.subject.ddc004: Informatikde_CH
dc.titleIoMiRCA : root cause analysis in IoT-extended 5G microservice environmentsde_CH
dc.typeKonferenz: Posterde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
zhaw.publisher.placeNew Yorkde_CH
dc.identifier.doi10.1145/3555776.3577840de_CH
dc.identifier.doi10.21256/zhaw-28106-
zhaw.conference.details38th ACM/SIGAPP Symposium on Applied Computing (ACM SAC), Tallinn, Estonia, 27-31 March 2023de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end108de_CH
zhaw.pages.start106de_CH
zhaw.publication.statusacceptedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsSAC '23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computingde_CH
zhaw.webfeedInformation Securityde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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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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