Activity policy-based service discovery for pervasive computing

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Service discovery is an essential technique to provide applications with appropriate resources. However, user mobility and heterogeneous environments make the discovery of appropriate resources difficult. The execution environments will be rapidly changed, so developers cannot predict available resources exactly in design time. Thus, service discovery frameworks for pervasive computing must guarantee transparent development environments to application developers. In this paper, we introduce how to semantically describe and discover a variety of services in different environments. This approach helps applications to find appropriate services even though the required ones are not available or not found. For this, we propose a fine-grained effect ontology which is used to reasonably evaluate functional similarity among different services, and a policy-based query coordination which is used to dynamically apply different resource constraints according to human activities. Finally, we show with a feasible scenario how to find appropriate services in different environments. Our approach helps applications to seamlessly perform their tasks across a dynamic range of environments.
Publisher
SPRINGER-VERLAG BERLIN
Issue Date
2006
Language
English
Article Type
Article; Proceedings Paper
Citation

CURRENT TRENDS IN DATABASE TECHNOLOGY - EDBT 2006 BOOK SERIES: LECTURE NOTES IN COMPUTER SCIENCE, v.4254, pp.756 - 768

ISSN
0302-9743
URI
http://hdl.handle.net/10203/89251
Appears in Collection
CS-Journal Papers(저널논문)
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