• DocumentCode
    2737363
  • Title

    Modeling Human Activities for Service Discovery in Pervasive Computing: The Magubi Approach

  • Author

    Ingmarsson, Magnus

  • Author_Institution
    Dept. of Compter & Inf. Sci., Linkopings Univ., Linkoping
  • Volume
    2
  • fYear
    2008
  • fDate
    6-8 Oct. 2008
  • Firstpage
    735
  • Lastpage
    740
  • Abstract
    Service discovery is an important part of pervasive computing. Present mainstream service-discovery protocols are to a high degree focused on the immediate properties of services and devices, as well as ensuring a high degree of connectivity. As the amount of discovered available services and devices go up, the challenge becomes how to ensure that systems and humans find relevant services, without overloading the systems or humans. Magubi is a model and implementation that is able to not only do advanced standard service discovery, but also, by viewing human tasks and activities as services, is able to expand the realm of service discovery for pervasive computing while addressing the overload challenge. Here, we present the model, and how we model services, humans, and activities. By taking the magubi-approach, service discovery also becomes proactive and is able to assist in a wide range of human endeavors.
  • Keywords
    ubiquitous computing; Magubi approach; human activities; pervasive computing; service discovery; Costs; Distance measurement; Hafnium; Humans; Information retrieval; Interference; Pervasive computing; RFID tags; Radio frequency; Radiofrequency identification; Modeling; Pervasive Computing; Prediction; Service Discovery; Smart Spaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Applications, 2008. ICPCA 2008. Third International Conference on
  • Conference_Location
    Alexandria
  • Print_ISBN
    978-1-4244-2020-9
  • Electronic_ISBN
    978-1-4244-2021-6
  • Type

    conf

  • DOI
    10.1109/ICPCA.2008.4783706
  • Filename
    4783706