• DocumentCode
    621129
  • Title

    A simple approximate analysis of floating content for context-aware applications

  • Author

    Ali, Shady ; Rizzo, Gianluca ; Rengarajan, Balaji ; Ajmone Marsan, Marco

  • Author_Institution
    Inst. IMDEA Networks, Madrid, Spain
  • fYear
    2013
  • fDate
    14-19 April 2013
  • Firstpage
    87
  • Lastpage
    88
  • Abstract
    Context-awareness is a peculiar characteristic of an ever expanding set of applications that make use of a combination of restricted spatio-temporal locality and mobile communications, to deliver a variety of services to the end user. It is expected that by 2014 more than 1.5 billion people would be using applications based on local search (search restricted on the basis of spatio-temporal locality), and that mobile location based services will drive revenues of more than $15 billion worldwide. A common feature of such context-aware applications is the fact that their communication requirements significantly differ from ordinary applications. For most of them, the scope of generated content itself is local. This locally relevant content may be of little concern to the rest of the world, therefore moving this content from the user device to store it in a well-accessible centralized location and/or making this information available beyond its scope represents a clear waste of resources (connectivity, storage). Due to these specific requirements, opportunistic communication can play a special role when coupled with context-awareness. The benefit of opportunistic communications is that it naturally incorporates context as spatial proximity is closely associated with connectivity.
  • Keywords
    mobile computing; mobile handsets; approximate floating content analysis; centralized location; context-aware applications; local search; mobile communications; mobile location based services; restricted spatio-temporal locality; user device; Adaptation models; Analytical models; Computational modeling; Context-aware services; Open area test sites; Predictive models; Probability density function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications Workshops (INFOCOM WKSHPS), 2013 IEEE Conference on
  • Conference_Location
    Turin
  • Print_ISBN
    978-1-4799-0055-8
  • Type

    conf

  • DOI
    10.1109/INFCOMW.2013.6562856
  • Filename
    6562856