Fabrice Jouanot

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In recent years, medical professionals are witnessing an explosive growth in data collected by various organizations and institutions. At the same time, the ongoing developments of networking technologies provide doctor with the capability to access these data across the boundaries of interconnected computers. In this paper we present a medical data(More)
Caching is crucial to improve performances in many computing systems. It is context dependent, thus many types of cache exist. As a consequence, when a cache is required, it is usually built from scratch. Such a solution is time (and money) consuming, in particular in data grid context where several caches may be required. This paper proposes ACS (Adaptable(More)
Caching is crucial to improve performances in many computing systems. This work proposes a caching approach for improving query evaluation. The proposed solution follows a semantic oriented approach and combines query and object caching. Separating query and objects provides high flexibility, by making possible to use several cooperations between caches and(More)
This paper presents the MediaGrid project whose goal is the definition of a mediation framework for transparent access to largely distributed sources. Frameworks are reusable pieces of design being expressed as a set of interfaces and components together with the description of their collaboration. Research topics addressed by the MediaGrid project include(More)
This paper focuses on context-aware data management services in grids with the aim of constructing self-adaptive middleware. The contribution is twofold. First it proposes a framework to facilitate the development of context management services. The reason is that, even a context management service, is context specific. The creation of ad-hoc context(More)
Les grilles de calcul sont souvent utilisées dans le cadre du calcul intensif avec des applications exis-tantes qui nécessitent de pouvoir accéder leurs données de différentes manières : fichiers ou requêtes plus évoluées. Leurs besoins sont variés mais incluent souvent la sélection de données sur des critères re-latifs aux métadonnées associées, ces(More)