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Simplified workflow simulation on clouds based on computation and communication noisiness

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Arquitectura de Computadores, Comunicaciones y Sistemases
dc.contributor.authorMathá, Roland
dc.contributor.authorRistov, Sasko
dc.contributor.authorFahringer, Thomas
dc.contributor.authorProdan, Radu
dc.contributor.funderEuropean Commissiones
dc.date.accessioned2020-04-29T12:41:54Z
dc.date.available2020-04-29T12:41:54Z
dc.date.issued2020-07-01
dc.descriptionASPIDE: Exascale programIng models for extreme data processingen
dc.description.abstractMany researchers rely on simulations to analyze and validate their researched methods on Cloud infrastructures. However, determining relevant simulation parameters and correctly instantiating them to match the real Cloud performance is a difficult and costly operation, as minor configuration changes can easily generate an unreliable inaccurate simulation result. Using legacy values experimentally determined by other researchers can reduce the configuration costs, but is still inaccurate as the underlying public Clouds and the number of active tenants are highly different and dynamic in time. To overcome these deficiencies, we propose a novel model that simulates the dynamic Cloud performance by introducing noise in the computation and communication tasks, determined by a small set of runtime execution data. Although the estimating method is apparently costly, a comprehensive sensitivity analysis shows that the configuration parameters determined for a certain simulation setup can be used for other simulations too, thereby reducing the tuning cost by up to 82.46 percent, while declining the simulation accuracy by only 1.98 percent on average. Extensive evaluation also shows that our novel model outperforms other state-of-the-art dynamic Cloud simulation models, leading up to 22 percent lower makespan inaccuracy en
dc.description.sponsorshipThis work was supported by the ASPIDE Project funded by the European Union’s Horizon 2020 Research and Innovation Programme under Grant agreement No. 801091.en
dc.format.extent16es
dc.identifier.bibliographicCitationIEEE transactions on parallel and distributed systems, 31(7) July 2020, Pp. 1559-1574en
dc.identifier.doihttps://doi.org/10.1109/TPDS.2020.2967662
dc.identifier.issn1558-2183
dc.identifier.publicationfirstpage1559es
dc.identifier.publicationissue7es
dc.identifier.publicationlastpage1574es
dc.identifier.publicationtitleIEEE transactions on parallel and distributed systemsen
dc.identifier.publicationvolume31es
dc.identifier.urihttps://hdl.handle.net/10016/30260
dc.language.isoengen
dc.publisherIEEEen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/801091/ASPIDEen
dc.rightsThis work is licensed under a Creative Commons Attribution 4.0 License (By)en
dc.rightsAtribución 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.ecienciaInformáticaes
dc.subject.otherCloud computingen
dc.subject.otherSimulationen
dc.subject.otherWorkflow applicationsen
dc.subject.otherBurstable instancesen
dc.subject.otherPerformance instability and noisinessen
dc.titleSimplified workflow simulation on clouds based on computation and communication noisinessen
dc.typeresearch articleen
dc.type.hasVersionVoR
dspace.entity.typePublication
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