In-Memory Graph Databases for Web-Scale Data.
A software stack relies primarily on graph-based methods to implement scalable resource description framework databases on top of commodity clusters, providing an inexpensive way to extract meaning from volumes of heterogeneous data.
| Publicado en: | Computer (00189162) Vol. 48; no. 3; pp. 24 - 36 |
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| Autores principales: | , , , , , , |
| Formato: | Artículo |
| Publicado: |
IEEE
Mar2015
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=101734417&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 101734417 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Mar2015 vid: 48 iid: 3 pid: 13605 pub: IEEE artinfo: ui: 101734417 10.1109/MC.2015.74 ppf: 24 ppct: 12 formats: tig: atl: In-Memory Graph Databases for Web-Scale Data. aug: au: Castellana, Vito Giovanni Morari, Alessandro Weaver, Jesse Tumeo, Antonino Haglin, David Villa, Oreste Feo, John affil: Pacific Northwest National Laboratory NVIDIA Research Context Relevant su: Computer software RDF (Document markup language) Databases Mass transfer coefficients Microclusters sug: subj: Computer software RDF (Document markup language) Databases Mass transfer coefficients Microclusters keyword: Algorithm design and analysis big data Clustering algorithms Data structures graph databases high-performance computing multithreading Pattern matching RDF databases Resource description framework Resource management Software development SPARQL ab: A software stack relies primarily on graph-based methods to implement scalable resource description framework databases on top of commodity clusters, providing an inexpensive way to extract meaning from volumes of heterogeneous data. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2015 holdings: @attributes: islocal: N |
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