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dc.contributor.authorAnjos, Julio C.S. dos
dc.contributor.authorAssunção, Marcos D.
dc.contributor.authorBez, Jean
dc.contributor.authorGeyer, Claudio
dc.contributor.authorPignaton de Freitas, Edison
dc.contributor.authorCarissimi, Alexandre
dc.contributor.authorCosta, João Paulo C. L.
dc.contributor.authorFedak, Gilles
dc.contributor.authorFreitag, Fèlix
dc.contributor.authorMarkl, Volker
dc.contributor.authorFergus, Paul
dc.contributor.authorPereira, Rubem
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2016-02-11T12:29:49Z
dc.date.issued2015
dc.identifier.citationAnjos, J., Assunção, M.D., Bez, J., Geyer, C., Pignaton de Freitas, E., Carissimi, A., Costa, J., Fedak, G., Freitag, F., Markl, V., Fergus, P., Pereira, R. SMART: An application framework for real time big data analysis on heterogeneous cloud environments. A: IEEE International Conference on Computer and Information Technology. "CIT/IUCC/DASC/PICom 2015: 26-28 October 2015, Liverpool, United Kingdom: proceedings". Liverpool: Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 199-206.
dc.identifier.isbn978-1-5090-0153-8
dc.identifier.urihttp://hdl.handle.net/2117/82848
dc.description.abstractThe amount of data that human activities generate poses a challenge to current computer systems. Big data processing techniques are evolving to address this challenge, with analysis increasingly being performed using cloud-based systems. Emerging services, however, require additional enhancements in order to ensure their applicability to highly dynamic and heterogeneous environments and facilitate their use by Small & Medium-sized Enterprises (SMEs). Observing this landscape in emerging computing system development, this work presents Small & Medium-sized Enterprise Data Analytic in Real Time (SMART) for addressing some of the issues in providing compute service solutions for SMEs. SMART offers a framework for efficient development of Big Data analysis services suitable to small and medium-sized organizations, considering very heterogeneous data sources, from wireless sensor networks to data warehouses, focusing on service composability for a number of domains. This paper presents the basis of this proposal and preliminary results on exploring application deployment on hybrid infrastructure.
dc.format.extent8 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.lcshCloud computing
dc.subject.lcshData warehousing
dc.subject.otherBig data
dc.subject.otherData analysis
dc.subject.otherData warehouses
dc.subject.otherSmall-to-medium enterprises
dc.subject.otherWireless sensor networks
dc.titleSMART: An application framework for real time big data analysis on heterogeneous cloud environments
dc.typeConference report
dc.subject.lemacComputació en núvol
dc.subject.lemacGestor de dades
dc.contributor.groupUniversitat Politècnica de Catalunya. CNDS - Xarxes de Computadors i Sistemes Distribuïts
dc.identifier.doi10.1109/CIT/IUCC/DASC/PICOM.2015.29
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7363071
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac17432932
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorAnjos, J.; Assunção, M.D.; Bez, J.; Geyer, C.; Pignaton de Freitas, E.; Carissimi, A.; Costa, J.; Fedak, G.; Freitag, F.; Markl, V.; Fergus, P.; Pereira, R.
local.citation.contributorIEEE International Conference on Computer and Information Technology
local.citation.pubplaceLiverpool
local.citation.publicationNameCIT/IUCC/DASC/PICom 2015: 26-28 October 2015, Liverpool, United Kingdom: proceedings
local.citation.startingPage199
local.citation.endingPage206


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