A Graph-based Approach for Contextual Service Loading in Pervasive Environments - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2008

A Graph-based Approach for Contextual Service Loading in Pervasive Environments

Résumé

The pervasive computing paradigm promises great abilities whenever and wherever a user goes. However, as people are shifting from the desktop to more resource-constrained devices, issues due to scarce resources may appear preventing from the use of the available services and applications. In this paper, we consider the adaptive deployment as a mainstream solution to suit service-oriented applications to different context constraints such as the users requirements, the hosts resources, the services properties and the surrounding environments. We put forward a graph-based deployment approach for service-based applications so as to make these applications adaptable to the runtime contextual constraints. We introduce the AxSeL architecture, A conteXtual Service Loader in which services and their dependencies are represented as a bidimensional graph. The dependency graph is then coloured through a process taking into account the devices, services and users constraints. This process aims to choose to load or not a service according to its execution context. A prototype based on Java and OSGi technologies is implemented in order to demonstrate and evaluate our approach.
Fichier principal
Vignette du fichier
DOA2008.pdf (463.4 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

inria-00395390 , version 1 (15-06-2009)

Identifiants

Citer

Amira Ben Hamida, Frédéric Le Mouël, Stéphane Frénot, Mohamed Ben Ahmed. A Graph-based Approach for Contextual Service Loading in Pervasive Environments. Proceedings of the 10th International Symposium on Distributed Objects and Applications (DOA'2008), Nov 2008, Monterrey, Mexico. pp.589-606, ⟨10.1007/978-3-540-88871-0_42⟩. ⟨inria-00395390⟩
421 Consultations
227 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More