THE CHANGING PARADIGM OF DATA-INTENSIVE COMPUTING.
This article discusses the growing amount of information that is processed in the simulation and monitoring systems being developed for data-intensive computing systems in fields including genomics, electric power distribution, and climate modeling. Challenges associated with the processing of data-...
| Publicado en: | Computer (00189162) Vol. 42; no. 1; pp. 26 - 35 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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IEEE
Jan2009
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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=36111263&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 36111263 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Jan2009 vid: 42 iid: 1 pid: 13605 pub: IEEE artinfo: ui: 36111263 10.1109/MC.2009.26 ppf: 26 ppct: 9 formats: tig: atl: THE CHANGING PARADIGM OF DATA-INTENSIVE COMPUTING. aug: au: Kouzes, Richard T. Anderson, Gordon A. Elbert, Stephen T. Gorton, Ian Gracio, Deborah K. affil: Pacific Northwest National Laboratory. su: Preparation of data in electronic data processing Database management Computer storage devices Supercomputers High performance computing Data warehousing Data libraries Relational databases Management sug: subj: Preparation of data in electronic data processing Database management Computer storage devices Supercomputers High performance computing Data warehousing Data libraries Relational databases Management ab: This article discusses the growing amount of information that is processed in the simulation and monitoring systems being developed for data-intensive computing systems in fields including genomics, electric power distribution, and climate modeling. Challenges associated with the processing of data-intensive applications and the reduction of information volumes to levels that human analysts can comprehend are noted. Strategies for organizing and operating data centers and data warehouses are addressed. The role of relational databases in ensuring the accessibility of stored information is noted. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2009 holdings: @attributes: islocal: N |
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