CAP and Cloud Data Management.
Novel systems that scale out on demand, relying on replicated data and massively distributed architectures with clusters of thousands of machines, particularly those designed for real-time data serving and update workloads, amply illustrate the realities of the CAP theorem. The featured Web extra is...
| Publicado en: | Computer (00189162) Vol. 45; no. 2; p. 43 |
|---|---|
| Autor principal: | |
| Formato: | Artículo |
| Publicado: |
IEEE
Feb2012
|
| 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=73617942&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 73617942 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Feb2012 vid: 45 iid: 2 pid: 13605 pub: IEEE artinfo: ui: 73617942 10.1109/MC.2011.388 ppf: 43 ppct: 0 formats: tig: atl: CAP and Cloud Data Management. aug: au: Ramakrishnan, Raghu affil: Yahoo su: Cloud computing Distributed computing Computer systems Application software sug: subj: Cloud computing Distributed computing Computer systems Application software keyword: CAP theorem cloud data management Computer architecture database management Database systems Distributed databases distributed systems Information management Servers ab: Novel systems that scale out on demand, relying on replicated data and massively distributed architectures with clusters of thousands of machines, particularly those designed for real-time data serving and update workloads, amply illustrate the realities of the CAP theorem. The featured Web extra is a video interview with Yahoo's Raghu Ramakrishnan about CAP and the cloud. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2012 holdings: @attributes: islocal: N |
|---|