Big Data Analytics beyond the Single Datacenter.

Contrary to the notion that all big data can be processed in "the cloud," each cloud is tied to one or more datacenters, and cloud implementation details matter when data must be distributed over multiple centers. In these cases, approaches are needed to optimize the application's execution path.

Detalles Bibliográficos
Publicado en:Computer (00189162) Vol. 50; no. 6; pp. 60 - 69
Autores principales: Eugster, Patrick, Jayalath, Chamikara, Kogan, Kirill, Stephen, Julian
Formato: Artículo
Publicado: IEEE Jun2017
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Big Data Analytics beyond the Single Datacenter.
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        au:
          Eugster, Patrick
          Jayalath, Chamikara
          Kogan, Kirill
          Stephen, Julian
        affil:
          Purdue University
          IMDEA Networks Institute
      su:
        Big data
        Data mining
        Cloud computing
        Holistic education
        Database searching
      sug:
        subj:
          Big data
          Data mining
          Cloud computing
          Holistic education
          Database searching
      keyword:
        Amazon EC2
        Big Data
        cloud computing
        Data analytics
        Data centers
        datacenters
        Distributed databases
        geodistributed data
        geodistribution
        Geographic information systems
        Hadoop
        Organizations
        Pig Latin
        Runtime
      ab: Contrary to the notion that all big data can be processed in "the cloud," each cloud is tied to one or more datacenters, and cloud implementation details matter when data must be distributed over multiple centers. In these cases, approaches are needed to optimize the application's execution path.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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