• DocumentCode
    230577
  • Title

    A runtime sharing mechanism for Big Data platforms

  • Author

    Shtern, Mark ; Litoiu, Marin

  • Author_Institution
    York Univ., York, ON, Canada
  • fYear
    2014
  • fDate
    17-21 Nov. 2014
  • Firstpage
    304
  • Lastpage
    307
  • Abstract
    In order to extract value from Big Data, a data source provider has to share data among many consumers. As such, data sharing becomes an important feature of Big Data platforms. However, privacy concerns are the key obstacles that prevent organizations from implementing data sharing solutions. Moreover, currently, the data owner is responsible for preparing the data before releasing it to a 3rd party. The preparation of data for release is a complex task and can become an obstacle. In this paper, we propose an ecosystem which enables data sharing responsibilities among producers and consumers and mitigates some of the obstacles.
  • Keywords
    Big Data; data privacy; big data platforms; data sharing responsibilities; data source provider; ecosystem; privacy concerns; runtime sharing mechanism; Algorithm design and analysis; Big data; DSL; Data privacy; Ecosystems; Privacy; big data; public cloud;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network and Service Management (CNSM), 2014 10th International Conference on
  • Conference_Location
    Rio de Janeiro
  • Type

    conf

  • DOI
    10.1109/CNSM.2014.7014180
  • Filename
    7014180