Optimized Contextual Discovery of Web Services for Devices

Nicolas Bussière (1) , Daniel Cheung-Foo-Wo (1) , Vincent Hourdin (1) , Stéphane Lavirotte (1) , Michel Riveill (1) , Jean-Yves Tigli (1)

1 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe RAINBOW

Due to more and more mobile computers moving among smart and communicating devices in our everyday life, we observe the emergence of new constraints in software design. Indeed, device heterogeneity, dynamic software variation, and frequent mobile device apparition/disappearance make software applications compulsorily adapt to their context. In this paper, we will present an enhancement of ambient computing discovery mechanisms adding context handling capabilities to Web Services for Devices. As a matter of fact, we define contextual parameters for broadcast requests so that only devices in the “selected context” reply, which aim at reducing the overall number of exchanged messages on the network.

Mots clés: Context-Aware Computing; Web services; Web Services pour Dispositifs

Domaines: Informatique ubiquitaire

Nicolas Bussière, Daniel Cheung-Foo-Wo, Vincent Hourdin, Stéphane Lavirotte, Michel Riveill, et al.. Optimized Contextual Discovery of Web Services for Devices. International Workshop on Context Modeling and Management for Smart Environments, IEEE Computer Society, Oct 2007, Lyon, France. ⟨hal-00481792⟩