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SMART: An application framework for real time big data analysis on heterogeneous cloud environments
dc.contributor.author | Anjos, Julio C.S. dos |
dc.contributor.author | Assunção, Marcos D. |
dc.contributor.author | Bez, Jean |
dc.contributor.author | Geyer, Claudio |
dc.contributor.author | Pignaton de Freitas, Edison |
dc.contributor.author | Carissimi, Alexandre |
dc.contributor.author | Costa, João Paulo C. L. |
dc.contributor.author | Fedak, Gilles |
dc.contributor.author | Freitag, Fèlix |
dc.contributor.author | Markl, Volker |
dc.contributor.author | Fergus, Paul |
dc.contributor.author | Pereira, Rubem |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.date.accessioned | 2016-02-11T12:29:49Z |
dc.date.issued | 2015 |
dc.identifier.citation | Anjos, 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.isbn | 978-1-5090-0153-8 |
dc.identifier.uri | http://hdl.handle.net/2117/82848 |
dc.description.abstract | The 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.extent | 8 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors |
dc.subject.lcsh | Cloud computing |
dc.subject.lcsh | Data warehousing |
dc.subject.other | Big data |
dc.subject.other | Data analysis |
dc.subject.other | Data warehouses |
dc.subject.other | Small-to-medium enterprises |
dc.subject.other | Wireless sensor networks |
dc.title | SMART: An application framework for real time big data analysis on heterogeneous cloud environments |
dc.type | Conference report |
dc.subject.lemac | Computació en núvol |
dc.subject.lemac | Gestor de dades |
dc.contributor.group | Universitat Politècnica de Catalunya. CNDS - Xarxes de Computadors i Sistemes Distribuïts |
dc.identifier.doi | 10.1109/CIT/IUCC/DASC/PICOM.2015.29 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7363071 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 17432932 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Anjos, 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.contributor | IEEE International Conference on Computer and Information Technology |
local.citation.pubplace | Liverpool |
local.citation.publicationName | CIT/IUCC/DASC/PICom 2015: 26-28 October 2015, Liverpool, United Kingdom: proceedings |
local.citation.startingPage | 199 |
local.citation.endingPage | 206 |