SbQA: Une Méthode Auto-Adaptative pour l'Allocation de Requêtes

Jorge-Arnulfo Quiane-Ruiz (1) , Philippe Lamarre (1) , Patrick Valduriez (1, 2)

1 LINA - Laboratoire d'Informatique de Nantes Atlantique
2 ATLAS - Complex data management in distributed systems

We present a flexible query allocation framework, called {\it Satisfaction-based Query Allocation} (SbQA for short), for distributed information systems where both consumers and providers (the participants) have special interests towards queries. A particularity of SbQA is that it allocates queries while considering both query load and participants' interests. To be fair, it dynamically trades consumers' interests for providers' interests based on their satisfaction. In this demo we illustrate the flexibility and efficiency of SbQA to allocate queries on the {\it Berkeley Open Infrastructure for Network Computing} (BOINC). We also demonstrate that SbQA is self-adaptable to the participants' expectations. Finally, we demonstrate that SbQA can be adapted to different kinds of applications by varying its parameters.

Mots clés: load balancing; query allocation; intentions; satisfaction; mediation; distributed systems; autonomous participants

Domaines: Base de données [cs.DB]

Jorge-Arnulfo Quiane-Ruiz, Philippe Lamarre, Patrick Valduriez. SbQA: Une Méthode Auto-Adaptative pour l'Allocation de Requêtes. Bases de Données Avancées (BDA), Oct 2008, Guilherand-Granges, France. ⟨hal-00375038⟩