• DocumentCode
    2230304
  • Title

    Hoarding Context Information with Context Clusters

  • Author

    Anandarajah, Myilone ; Robinson, Ricky ; Indulska, Jadwiga

  • Author_Institution
    Sch. of ITEE, Queensland Univ., Qld.
  • fYear
    2007
  • fDate
    19-23 March 2007
  • Firstpage
    33
  • Lastpage
    38
  • Abstract
    The components of a context-aware system can often become disconnected because of the dynamic environments within which they are deployed. Hoarding context information on the client application side can improve the probability that the application will continue to behave correctly in the event of disconnection. While traditional approaches to caching and hoarding can be used to combat this problem, we contend that a cache management solution that uses the extra information captured by context modelling techniques will provide more robust operation. Specifically, we focus on the metadata provided by the context modelling language (CML), which may enable smarter decisions to be made by a cache management system for context information
  • Keywords
    cache storage; meta data; cache management; context clusters; context modelling language; context-aware system; hoarding context information; metadata; Australia; Bandwidth; Conference management; Context modeling; Delay; History; Mobile computing; Network servers; Prefetching; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications Workshops, 2007. PerCom Workshops '07. Fifth Annual IEEE International Conference on
  • Conference_Location
    White Plains, NY
  • Print_ISBN
    0-7695-2788-4
  • Type

    conf

  • DOI
    10.1109/PERCOMW.2007.54
  • Filename
    4144789