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Modeling Human Activities for Service Discovery in Pervasive Computing: The Magubi Approach
Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, MDALAB - Human Computer Interfaces.
2008 (English)In: ICPCA,2008, Piscataway, New Jersey, USA: IEEE Conference Publications Management Group , 2008, 735-740 p.Conference paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Piscataway, New Jersey, USA: IEEE Conference Publications Management Group , 2008. 735-740 p.
Keyword [en]
Pervasive Computing, Service Discovery, Smart Spaces, Prediction, Modeling
National Category
Computer Science
URN: urn:nbn:se:liu:diva-44665DOI: 10.1109/ICPCA.2008.4783706Local ID: 77255ISBN: 978-1-4244-2021-6 (online)ISBN: 978-1-4244-2020-9 (print)OAI: diva2:265527
2008 3rd International Conference on Pervasive Computing and Applications, ICPCA08
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2014-06-10

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Ingmarsson, Magnus
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The Institute of TechnologyMDALAB - Human Computer Interfaces
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ReferencesLink to record
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