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
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