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Perspectives on anomaly and event detection in exascale systems

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Arquitectura de Computadores, Comunicaciones y Sistemases
dc.contributor.authorIuhasz, Gabriel
dc.contributor.authorPetcu, Dana
dc.contributor.funderEuropean Commissiones
dc.date.accessioned2020-02-18T13:49:19Z
dc.date.available2020-02-18T13:49:19Z
dc.date.issued2019-08-29
dc.descriptionProceeding of: IEEE 5th International Conference on Big Data Security on Cloud (BigDataSecurity), 27-29 May 2019, Washington, USAen
dc.descriptionASPIDE: Exascale programIng models for extreme data processing
dc.description.abstractThe design and implementation of exascale system is nowadays an important challenge. Such a system is expected to combine HPC with Big Data methods and technologies to allow the execution of scientific workloads which are not tractable at this present time. In this paper we focus on an event and anomaly detection framework which is crucial in giving a global overview of a exascale system (which in turn is necessary for the successful implementation and exploitation of the system). We propose an architecture for such a framework and show how it can be used to handle failures during job execution.en
dc.description.sponsorshipThis work has received funding from the EC-funded H2020 ASPIDE project (Agreement 801091). This work was supported with hardware resources by the Romanian grant BID (PN-III-P1-PFE-28).en
dc.format.extent5es
dc.identifier.bibliographicCitation2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS). IEEE, Pp. 225-229en
dc.identifier.isbn978-1-7281-0006-7
dc.identifier.publicationfirstpage225es
dc.identifier.publicationlastpage229es
dc.identifier.publicationtitle2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS)en
dc.identifier.urihttps://hdl.handle.net/10016/29715
dc.language.isoengen
dc.publisherIEEEen
dc.relation.eventdate27-05-2019es
dc.relation.eventplaceWashington, USAen
dc.relation.eventtitle5th International Conference on Big Data Security on Cloud (BigDataSecurity)en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/801091/ASPIDEen
dc.rights© 2019 IEEEen
dc.rights.accessRightsopen accessen
dc.subject.ecienciaInformáticaes
dc.subject.otherExascaleen
dc.subject.otherMachine learningen
dc.subject.otherAnomalyen
dc.subject.otherDistributeden
dc.subject.otherMonitoringen
dc.titlePerspectives on anomaly and event detection in exascale systemsen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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