• DocumentCode
    3613339
  • Title

    Associative Big Data Sharing in Community Clouds: The MeePo Approach

  • Author

    Wu, Yongwei ; Su, Maomeng ; Zheng, Weiming ; Hwang, Kai ; Zomaya, Albert Y.

  • Author_Institution
    Tsinghua University of China
  • Volume
    2
  • Issue
    6
  • fYear
    2015
  • Firstpage
    64
  • Lastpage
    73
  • Abstract
    In a community cloud, multiple user groups dynamically share a massive number of data blocks. The authors present a new associative data sharing method that uses virtual disks in the MeePo cloud, a research storage cloud built at Tsinghua University. Innovations in the MeePo cloud design include big data metering, associative data sharing, data block prefetching, privileged access control (PAC), and privacy preservation. These features are improved or extended from competing features implemented in DropBox, CloudViews, and MySpace. The reported results support the effectiveness of the MeePo cloud.
  • Keywords
    Access control; Big data; Cloud computing; Computational modeling; Metadata; Servers; associative data sharing; big data; cloud; cloud architecture; community clouds;
  • fLanguage
    English
  • Journal_Title
    Cloud Computing, IEEE
  • Publisher
    ieee
  • ISSN
    2325-6095
  • Type

    jour

  • DOI
    10.1109/MCC.2015.123
  • Filename
    7397048
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3613339