A Workflow-oriented Language for Scalable Data Analytics

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dc.contributor.author Marozzo, Fabrizio
dc.contributor.author Talia, Domenico
dc.contributor.author Trunfio, Paolo
dc.contributor.editor Carretero Pérez, Jesús
dc.contributor.editor García Blas, Javier
dc.contributor.editor Barbosa, Jorge
dc.contributor.editor Morla, Ricardo
dc.contributor.other Universidad Carlos III de Madrid. Computer Architecture, Communications and Systems Group (ARCOS)
dc.date.accessioned 2015-11-11T11:04:31Z
dc.date.available 2015-11-11T11:04:31Z
dc.date.issued 2014-11
dc.identifier.bibliographicCitation Carretero 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.
dc.identifier.isbn 978-84-617-2251-8
dc.identifier.uri http://hdl.handle.net/10016/21982
dc.description Proceedings of: First International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2014). Porto (Portugal), August 27-28, 2014.
dc.description.abstract Data 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.
dc.description.sponsorship The work presented in this paper has been partially supported by EU under the COST programme Action IC1305, ’Network for Sustainable Ultrascale Computing (NESUS)’.
dc.format.extent 6
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subject.other Cloud computing
dc.subject.other Data analytics
dc.subject.other Workflows
dc.subject.other JS4Cloud
dc.title A Workflow-oriented Language for Scalable Data Analytics
dc.type bookPart
dc.type conferenceObject
dc.subject.eciencia Informática
dc.rights.accessRights openAccess
dc.type.version publishedVersion
dc.relation.eventdate August 27-28, 2014
dc.relation.eventnumber 1
dc.relation.eventplace Porto, Portugal
dc.relation.eventtitle International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2014)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 7
dc.identifier.publicationlastpage 12
dc.identifier.publicationtitle Proceedings of the First International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2014): Porto, Portugal
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