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dc.contributor.authorNunna, K.C.
dc.contributor.authorMadipour, Farhad
dc.contributor.authorTrouve, A.
dc.contributor.authorMurakami, K.J.
dc.date.accessioned2017-05-31T03:11:42Z
dc.date.available2017-05-31T03:11:42Z
dc.date.issued2015
dc.identifier.issn2053-1389
dc.identifier.issn2053-1397
dc.identifier.urihttps://hdl.handle.net/10652/3759
dc.description.abstractIn today’s commercial world, information is becoming a major economic resource thus leading to a statement - Information is wealth. It is a technical challenge for computer systems in managing and analyzing the large volumes of data coming from a variety of resources continuously over a period. Experts are in a mood of moving towards alternative hardware platforms for achieving high-speed data processing and analysis especially for streaming applications. In this paper, (a) existing trends in big data processing and the necessary systems involved are studied by performing a survey on available platforms, (b) recommended features and suitable hardware systems are proposed based on the operations involved in the processing. Investigation shows that, in combination with CPU and along with GPU, FPGA is a possible alternative. It can be a part of the heterogeneous platform featuring parallelism, pipelining and high performance for the operations involved in big data processing.en_NZ
dc.language.isoenen_NZ
dc.publisherInderScience Publishersen_NZ
dc.relation.urihttp://www.inderscienceonline.com/doi/pdf/10.1504/IJBDI.2015.070599en_NZ
dc.rightsAll rights reserveden_NZ
dc.subjectbig data processingen_NZ
dc.subjectdata analytics infrastructureen_NZ
dc.subject3D/multi-FPGA Systemen_NZ
dc.titleA survey on big data processing infrastructure: evolving role of FPGAen_NZ
dc.typeJournal Articleen_NZ
dc.date.updated2017-05-10T05:39:23Z
dc.rights.holderInderScience Publishersen_NZ
dc.identifier.doidoi:10.1504/IJBDI.2015.070599en_NZ
dc.subject.marsden090604 Microelectronics and Integrated Circuitsen_NZ
dc.subject.marsden080109 Pattern Recognition and Data Miningen_NZ
dc.identifier.bibliographicCitationNunna, K C., Mehdipour, F., Trouve, A., & Murakami, K J. (2015). A Survey on Big Data Processing Infrastructure: Evolving Role of FPGA. International Journal of Big Data Intelligence, 2(3), pp.145-156. doi:10.1504/IJBDI.2015.070599en_NZ
unitec.publication.spage145en_NZ
unitec.publication.lpage156en_NZ
unitec.publication.volume2en_NZ
unitec.publication.issue3en_NZ
unitec.publication.titleInternational Journal of Big Data Intelligenceen_NZ
unitec.peerreviewedyesen_NZ
dc.contributor.affiliationUnitec Institute of Technologyen_NZ
unitec.identifier.roms59466en_NZ
unitec.publication.placeOlney, Bucks, UKen_NZ
unitec.institution.studyareaConstruction + Engineering


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