• DocumentCode
    3637757
  • Title

    CloudDB: One Size Fits All Revived

  • Author

    Hakan Hacigümüs;Junichi Tatemura;Wang-Pin Hsiung;Hyun J. Moon;Oliver Po;Arsany Sawires;Yun Chi;Hojjat Jafarpour

  • fYear
    2010
  • Firstpage
    148
  • Lastpage
    149
  • Abstract
    We present a data management platform in the cloud, CloudDB. The guiding principle of CloudDB’s design is establishing data independence for the applications that need to use diverse underlying data stores that are optimized for varying workload needs and characteristics. The applications should not have to be aware of the physical organization of the data and how the data is accessed. Ideally, an application only needs a logical specification of the data access layer and the data access requests are handled in a declarative way. CloudDB hosts variety of specialized databases that deliver high performance, scalability, and cost efficiency for varying application needs. CloudDB’s API layer is designed in such a way to give data independence to the higher level applications. The goal is to let the clients use just a simple, standard, and uniform language API to access data management functions as a service.
  • Keywords
    "Clouds","Organizations","Scalability","Data models","Distributed databases","Monitoring"
  • Publisher
    ieee
  • Conference_Titel
    Services (SERVICES-1), 2010 6th World Congress on
  • Print_ISBN
    978-1-4244-8199-6
  • Type

    conf

  • DOI
    10.1109/SERVICES.2010.96
  • Filename
    5575795