A QoS and container-based approach for energy saving and performance profiling in multi-core servers

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dc.book.title2019 IFIP/IEEE 27th International conference on very large scale integration (VLSI-SOC)
dc.contributor.authorSouza, Wellington Silva de
dc.contributor.authorIranfar, Arman
dc.contributor.authorSilva, Anderson
dc.contributor.authorZapater, Marina
dc.contributor.authorSouza, Samuel Xavier de
dc.contributor.authorOlcoz Herrero, Katzalin
dc.contributor.authorAtienza, David
dc.date.accessioned2023-06-17T14:18:29Z
dc.date.available2023-06-17T14:18:29Z
dc.date.issued2019
dc.description©2019 IEEE IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC)(27. 2019. Cuzco, Perú). ISSN 2324-8432 This work has been supported by Spanish MINECO (GA. No. TIN2015-65277-R), the Spanish MINECO (GA. No. S2018/TCS-4423), the SERI Seed Money project (GA No. SMG1702), the EC H2020 RECIPE project (GA No. 801137), and the ERC Consolidator Grant COMPUSAPIEN (GA No. 725657).
dc.description.abstractIn this work we present ContainEnergy, a new performance evaluation and profiling tool that uses software containers to perform application runtime assessment, providing energy and performance profiling data. It is focused on energy efficiency for next generation workloads and IT infrastructure.
dc.description.departmentSección Deptal. de Arquitectura de Computadores y Automática (Físicas)
dc.description.facultyFac. de Ciencias Físicas
dc.description.refereedTRUE
dc.description.sponsorshipUnión Europea. H2020
dc.description.sponsorshipMinisterio de Economía y Competitividad (MINECO)
dc.description.sponsorshipState Secretariat for Education, Research and Innovation (SERI)
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/60290
dc.identifier.doi10.1109/VLSI-SoC.2019.8920379
dc.identifier.isbn978-1-7281-3915-9
dc.identifier.officialurlhttp://dx.doi.org/10.1109/VLSI-SoC.2019.8920379
dc.identifier.relatedurlhttps://ieeexplore.ieee.org/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/14037
dc.language.isoeng
dc.page.final231
dc.page.initial230
dc.page.total2
dc.publication.placeNueva York
dc.publisherIEEE
dc.relation.ispartofseriesIEEE-IFIP International Conference on VLSI and System-on-Chip
dc.relation.projectIDRECIPE (801137); COMPUSAPIEN (725657)
dc.relation.projectIDTIN2015-65277-R
dc.relation.projectIDSMG1702
dc.rights.accessRightsopen access
dc.subject.cdu004.8
dc.subject.keywordPerformance profiling
dc.subject.keywordEnergy profiling
dc.subject.keywordSoftware containers
dc.subject.keywordPerformance counters
dc.subject.keywordDVFS
dc.subject.ucmInteligencia artificial (Informática)
dc.subject.unesco1203.04 Inteligencia Artificial
dc.titleA QoS and container-based approach for energy saving and performance profiling in multi-core servers
dc.typebook part
dspace.entity.typePublication
relation.isAuthorOfPublication8cfc18ec-4816-404d-982d-21dc07318c07
relation.isAuthorOfPublication.latestForDiscovery8cfc18ec-4816-404d-982d-21dc07318c07

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