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Monitoring of exascale data processing

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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 Commissionen
dc.date.accessioned2020-04-27T11:13:46Z
dc.date.available2020-04-27T11:13:46Z
dc.date.issued2020-01-02
dc.descriptionProceeding of: 2019 IEEE International Conference on Advanced Scientific Computing (ICASC)en
dc.descriptionASPIDE: Exascale programIng models for extreme data processingen
dc.description.abstractExascale systems are a hot topic of research in computer science. These systems in contrast to current Cloud, Big Data and HPC systems will routinely contain hundreds of thousand of nodes generating millions of events. At this scale of hardware fault and anomalous behaviour is not only more likely but to be expected. In this paper we describe the architecture of and Exascale monitoring solution coupled with an event detection component. The latter component is extremely important in order to handle the multitude of potential events. We describe the major lacking research that needs to be done, which will make event detection freezable in real world Exascale systems.en
dc.description.sponsorshipThis work has received funding from the EC-funded H2020 ASPIDE project (Agreement 801091: Exascale programming models for extreme data processing). This work was supported with hardware resources by the Romanian grant BID (PN-III-P1-PFE-28: Big Data Science).en
dc.format.extent5es
dc.identifier.bibliographicCitation2019 IEEE International Conference on Advanced Scientific Computing (ICASC), 12-14, September 2019, Sinaia, Romania. Proceedings, 5 pp.en
dc.identifier.doihttps://doi.org/10.1109/ICASC48083.2019.8946279
dc.identifier.isbn978-1-7281-4454-2
dc.identifier.publicationfirstpage1es
dc.identifier.publicationlastpage5es
dc.identifier.publicationtitle2019 IEEE International Conference on Advanced Scientific Computing (ICASC), 12-14, September 2019, Sinaia, Romania. Proceedingsen
dc.identifier.urihttps://hdl.handle.net/10016/30208
dc.language.isoengen
dc.publisherIEEEen
dc.relation.eventdate19-09-12es
dc.relation.eventplaceSiania, Rumaníaes
dc.relation.eventtitle2019 IEEE International Conference on Advanced Scientific Computing (ICASC), 12-14 Sept. 2019, Sinaia, Romaniaen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/801091/ASPIDEes
dc.rights© 2019 IEEE.en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaInformáticaes
dc.subject.otherMonitoringen
dc.subject.otherExascaleen
dc.subject.otherEvent processingen
dc.subject.otherAnomaly detectionen
dc.titleMonitoring of exascale data processingen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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