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Online monitoring automation using anomaly detection in IoT/IT environment

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dc.contributor.authorKim, Chul-
dc.contributor.authorJoe, Inwhee-
dc.contributor.authorJang, Deokwon-
dc.contributor.authorKim, Eunji-
dc.contributor.authorNam, Sanghun-
dc.date.accessioned2022-07-10T01:01:49Z-
dc.date.available2022-07-10T01:01:49Z-
dc.date.issued2019-04-
dc.identifier.issn1860-0794-
dc.identifier.issn2194-5365-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/148093-
dc.description.abstractThe increase of the IoT and the cloud environment have played a significant role of making our society knowledgeable and informative. Due to this trends the system environment gets more sophisticated and requires more system resources. In this paper, the monitoring automation without humans being involved has been proposed. It is noted that the 93.75% faults has been detected via the simulation using the proposed technique and the faults that the operators reported have been detected as well in datacenter.-
dc.format.extent11-
dc.language영어-
dc.language.isoENG-
dc.publisherSpringer-
dc.titleOnline monitoring automation using anomaly detection in IoT/IT environment-
dc.typeArticle-
dc.identifier.doi10.1007/978-3-030-19810-7_10-
dc.identifier.scopusid2-s2.0-85065914666-
dc.identifier.wosid000503762800010-
dc.identifier.bibliographicCitationAdvances in Intelligent Systems and Computing, v.985, pp 96 - 106-
dc.citation.titleAdvances in Intelligent Systems and Computing-
dc.citation.volume985-
dc.citation.startPage96-
dc.citation.endPage106-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science-
dc.relation.journalWebOfScienceCategoryArtificial Intelligence-
dc.subject.keywordPlusAnomaly detection-
dc.subject.keywordPlusArtificial intelligence-
dc.subject.keywordPlusAutomation-
dc.subject.keywordPlusLearning systems-
dc.subject.keywordPlusTime series-
dc.subject.keywordPlusCloud environments-
dc.subject.keywordPlusDatacenter-
dc.subject.keywordPlusMonitoring automation-
dc.subject.keywordPlusOnline monitoring-
dc.subject.keywordPlusSystem environment-
dc.subject.keywordPlusSystem resources-
dc.subject.keywordPlusInternet of things-
dc.subject.keywordAuthorAnomaly detection-
dc.subject.keywordAuthorIoT-
dc.subject.keywordAuthorIT-
dc.subject.keywordAuthorMachine learning-
dc.subject.keywordAuthorMonitoring automation-
dc.subject.keywordAuthorTime-series-
dc.identifier.urlhttps://link.springer.com/chapter/10.1007/978-3-030-19810-7_10-
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