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A Data-Aware Scheduling Strategy for DMCF workflows over Hercules

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Arquitectura de Computadores, Comunicaciones y Sistemases
dc.contributor.authorMarozzo, Fabrizio
dc.contributor.authorCarretero Pérez, Jesús
dc.contributor.authorRodrigo Duro, Francisco José
dc.contributor.authorGarcía Blas, Javier
dc.contributor.authorTalia, Domenico
dc.contributor.authorTrunfio, Paolo
dc.contributor.editorCarretero Pérez, Jesús
dc.contributor.editorGarcía Blas, Javier
dc.contributor.editorMargenov, Svetozar
dc.contributor.otherUniversidad Carlos III de Madrid. Computer Architecture, Communications and Systems Group (ARCOS)
dc.date.accessioned2017-02-20T10:13:20Z
dc.date.available2017-02-20T10:13:20Z
dc.date.issued2016-10-06
dc.descriptionProceedings of: Third International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2016). Sofia (Bulgaria), October, 6-7, 2016.en
dc.description.abstractAs data-intensive scientific prevalence arises, there is a necessity of simplifying the development, deployment, and execution of complex data analysis applications. The Data Mining Cloud Framework is a service-oriented system for allowing users to design and execute data analysis applications, defined as workflows, on cloud platforms, relying on cloud-provided storage services for I/O operations. Hercules is an in-memory I/O solution that can be deployed as an alternative to cloud storage services, providing additional performance and flexibility features. This work extends the DMCF-Hercules cooperation by applying novel data placement and task scheduling techniques for exposing and exploiting data locality in data-intensive workflows.en
dc.description.sponsorshipThis work is partially supported by EU under the COST Program Action IC1305: Network for Sustainable Ultrascale Computing (NESUS).en
dc.format.extent8
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationCarretero Pérez, Jesús; et.al. (eds.). (2016) Proceedings of the Third International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2016): Sofia, Bulgaria. Universidad Carlos III de Madrid, pp. 37-44.en
dc.identifier.isbn978-84-617-7450-0
dc.identifier.publicationfirstpage37
dc.identifier.publicationlastpage44
dc.identifier.publicationtitleProceedings of the Third International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2016): Sofia, Bulgariaen
dc.identifier.urihttps://hdl.handle.net/10016/24234
dc.identifier.uxxiCC/0000024925
dc.language.isoengen
dc.relation.eventdateOctober, 6-7, 2016en
dc.relation.eventnumber3
dc.relation.eventplaceSofia, Bulgariaen
dc.relation.eventtitleInternational Workshop on Sustainable Ultrascale Computing Systems (NESUS 2016)en
dc.rights.accessRightsopen access
dc.subject.ecienciaInformáticaes
dc.subject.otherDMCFen
dc.subject.otherHerculesen
dc.subject.otherWorkflowsen
dc.subject.otherIn-memory storageen
dc.subject.otherData cacheen
dc.subject.otherMicrosoft Azureen
dc.subject.otherData localityen
dc.titleA Data-Aware Scheduling Strategy for DMCF workflows over Herculesen
dc.typeconference paper*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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