Context-Aware Service Selection with Uncertain Context Information - Université Paris 1 Panthéon-Sorbonne Access content directly
Journal Articles Electronic Communications of the EASST Year : 2009

Context-Aware Service Selection with Uncertain Context Information


The current evolution of Service-Oriented Computing in ubiquitous systems is leading to the development of context-aware services. These are services whose description is enriched with context information related to the service execution environment and adaptation capabilities. This information is often used for discovery and adaptation purposes. However, in real-life systems context information is naturally dynamic, uncertain and incomplete, which represents an important issue when comparing service description and user requirements. Uncertainty of context information may lead to an inexact match between provided and required service capabilities, and consequently to the non-selection of services. In order to handle uncertain and incomplete context information, we propose a mechanism inspired by graph-comparison for matching contextual service descriptions using similarity measures that allow inexact matching. Service description and requirements are compared using two kinds of similarity measures: local measures, which compare individually required and provided properties, and global measures, which take into account the context description as a whole. We show how the proposed mechanism is integrated in MUSIC, an existing adaptation middleware, and how it enables more optimal adaptation decision making.
Fichier principal
Vignette du fichier
CAMPUS09-ECEASSTvol19-Vanrompay-etal.pdf (192.18 Ko) Télécharger le fichier
Origin : Publisher files allowed on an open archive

Dates and versions

hal-00421953 , version 1 (05-10-2009)


  • HAL Id : hal-00421953 , version 1


Yves Vanrompay, Manuele Kirsch Pinheiro, Yolande Berbers. Context-Aware Service Selection with Uncertain Context Information. Electronic Communications of the EASST, 2009, 19, ⟨hal-00421953⟩


185 View
172 Download


Gmail Facebook X LinkedIn More