• DocumentCode
    552757
  • Title

    Costing: Non traditional data stores versus traditional DBMS technologies

  • Author

    Coulter, Tim

  • Author_Institution
    Infrastructure Architecture, USA
  • fYear
    2011
  • fDate
    July 31 2011-Aug. 4 2011
  • Firstpage
    1
  • Lastpage
    15
  • Abstract
    Storage in large scale data centers is changing dramatically. The move from high cost enterprise class storage systems, to storage nodes that are part application, part storage and part service is pervasive. These nodes make up new technology plays, like hadoop, hbase, mongodb, and cloud storage. This paper talks about real world use cases for building out these environments, the business drivers, the successes and failures. It provides details on the cost models, the changes of the paradigm and when and why this new paradigm should be used.
  • Keywords
    cloud computing; computer centres; database management systems; information storage; business drivers; cloud storage; hadoop storage; hbase storage; high cost enterprise class storage systems; large scale data centers; mongodb storage; nontraditional data stores; part application; part service; part storage; storage nodes; traditional DBMS technologies; Bandwidth; Buildings; Cloud computing; Companies; Monitoring; Warehousing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technology Management in the Energy Smart World (PICMET), 2011 Proceedings of PICMET '11:
  • Conference_Location
    Portland, OR
  • Print_ISBN
    978-1-4577-1552-5
  • Electronic_ISBN
    978-1-890843-24-3
  • Type

    conf

  • Filename
    6017801