[Zurück]

F. Li, K. Rasch, H. Truong, R. Ayani, S. Dustdar:
"Proactive Service Discovery in Pervasive Environments";
Vortrag: 7th International Conference on Pervasive Services (ICPS 2010), Berlin, Germany; 13.07.2010 - 15.07.2010; in: "Proceedings of the 7th International Conference on Pervasive Services (ICPS 2010)", C. Becker, S. Krishnaswamy et al. (Hrg.); ACM, (2010), ISBN: 978-1-4503-0249-4; S. 126 - 133.

Pervasive environments are characterized by rich and dynamic
context, where users need to be continuously informed
about services relevant to their current context. Implicit discovery
requests, triggered by changes of user context, available
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.

Projektleitung Schahram Dustdar:
SM4ALL