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A Workflow-oriented Language for Scalable Data Analytics

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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.authorTalia, Domenico
dc.contributor.authorTrunfio, Paolo
dc.contributor.editorCarretero Pérez, Jesús
dc.contributor.editorGarcía Blas, Javier
dc.contributor.editorBarbosa, Jorge
dc.contributor.editorMorla, Ricardo
dc.contributor.otherUniversidad Carlos III de Madrid. Computer Architecture, Communications and Systems Group (ARCOS)
dc.date.accessioned2015-11-11T11:04:31Z
dc.date.available2015-11-11T11:04:31Z
dc.date.issued2014-11
dc.descriptionProceedings of: First International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2014). Porto (Portugal), August 27-28, 2014.en
dc.description.abstractData in digital repositories are everyday more and more massive and distributed. Therefore analyzing them requires efficient data analysis techniques and scalable storage and computing platforms. Cloud computing infrastructures offer an effective support for addressing both the computational and data storage needs of big data mining and parallel knowledge discovery applications. In fact, complex data mining tasks involve data- and compute-intensive algorithms that require large and efficient storage facilities together with high performance processors to get results in acceptable times. In this paper we describe a Data Mining Cloud Framework (DMCF) designed for developing and executing distributed data analytics applications as workflows of services. We describe also a workflow-oriented language, called JS4Cloud, to support the design and execution of script-based data analysis workflows on DMCF. We finally present a data analysis application developed with JS4Cloud, and the scalability achieved executing it on DMCF.en
dc.description.sponsorshipThe work presented in this paper has been partially supported by EU under the COST programme Action IC1305, ’Network for Sustainable Ultrascale Computing (NESUS)’.en
dc.format.extent6
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationCarretero Pérez, Jesús; et.al. (eds.). (2014) Proceedings of the First International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2014): Porto, Portugal. Universidad Carlos III de Madrid, pp. 7-12.en
dc.identifier.isbn978-84-617-2251-8
dc.identifier.publicationfirstpage7
dc.identifier.publicationlastpage12
dc.identifier.publicationtitleProceedings of the First International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2014): Porto, Portugalen
dc.identifier.urihttps://hdl.handle.net/10016/21982
dc.language.isoeng
dc.relation.eventdateAugust 27-28, 2014en
dc.relation.eventnumber1
dc.relation.eventplacePorto, Portugalen
dc.relation.eventtitleInternational Workshop on Sustainable Ultrascale Computing Systems (NESUS 2014)en
dc.rights.accessRightsopen access
dc.subject.ecienciaInformáticaes
dc.subject.otherCloud computingen
dc.subject.otherData analyticsen
dc.subject.otherWorkflowsen
dc.subject.otherJS4Clouden
dc.titleA Workflow-oriented Language for Scalable Data Analyticsen
dc.typeconference paper*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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