• DocumentCode
    2251176
  • Title

    Cloud-based content centric storage for large systems

  • Author

    Jaeger, Michael C. ; Messina, Alberto ; Lorenz, Mirko ; Gogouvitis, Spyridon V. ; Kyriazis, Dimosthenis ; Kolodner, Elliot K. ; Su, Xiaomeng ; Bahar, Enver

  • Author_Institution
    Corp. Technol., Siemens AG, Munich, Germany
  • fYear
    2012
  • fDate
    9-12 Sept. 2012
  • Firstpage
    987
  • Lastpage
    994
  • Abstract
    Content centric storage refers to a paradigm where applications access data objects through information about their content, rather than their path in a hierarchical structure. The application does not need any knowledge about the data store organization, or the place in a storage hierarchy. Rather, the application is able to query for the desired content based on metadata associated with the data objects. We illustrate the need for content centric storage and access through an example from a media production application. Our approach for building an industrial-capable content centric storage employs a cloud storage technology where metadata is treated as first class citizen and extends this technology with an API layer that manages and leverages metadata regarding content.
  • Keywords
    application program interfaces; cloud computing; content management; meta data; API layer; cloud storage technology; cloud-based content centric storage; data objects; data store organization; hierarchical structure; industrial-capable content centric storage; large systems; metadata; storage hierarchy; Cloud computing; Measurement; Media; Production; Search problems; XML; YouTube;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Systems (FedCSIS), 2012 Federated Conference on
  • Conference_Location
    Wroclaw
  • Print_ISBN
    978-1-4673-0708-6
  • Electronic_ISBN
    978-83-60810-51-4
  • Type

    conf

  • Filename
    6354432