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Proactive Service Discovery in Pervasive Environments
Vienna University of Technology, Austria. (Distributed Systems Group)
KTH, School of Information and Communication Technology (ICT), Communication: Services and Infrastucture, Software and Computer Systems, SCS.
Vienna University of Technology, Austria. (Distributed Systems Group)
KTH, School of Information and Communication Technology (ICT), Communication: Services and Infrastucture, Software and Computer Systems, SCS.
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2010 (English)In: Proceedings of the 7th ACM International Conference on Pervasive Services (ICPS), 2010, 126-133 p.Conference paper, Published paper (Refereed)
Abstract [en]

Pervasive environments are characterized by rich and dy-namic context, where users need to be continuously informed about services relevant to their current context. Implicit discovery requests, triggered by changes of user context, avail-able services, or user preferences are prevalent in such environments.This paper proposes a proactive service discovery approach for pervasive environments to address these implicit requests. Services and user preferences are described by a formal context model, which effectively captures the dynamics of context and the relationship between services and users. Based on the model, we propose a proactive discovery algorithm to continuously present the most relevant services to the user in response to changes of context, services or user preferences. Numeric coding methods are applied in different phases of the algorithm to improve its performance. A proactive service discovery system is proposed and the context model is grounded in a smart home environment. Experimental results show that our approach can efficiently provide the user with up-to-date information about useful services.

Place, publisher, year, edition, pages
2010. 126-133 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-50590OAI: oai:DiVA.org:kth-50590DiVA: diva2:462242
Conference
The 7th ACM International Conference on Pervasive Services (ICPS 2010), July 13-16, 2010, Berlin, Germany
Note
QC 20111207Available from: 2011-12-06 Created: 2011-12-06 Last updated: 2011-12-07Bibliographically approved

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