Building Distributed Chronicles for Fault Diagnostic in Distributed Systems using Continuous Query Language (CQL)

Juan Vizcarrondo , Jose Aguilar (1) , Ernesto Expósito (2) , Audine Subias (3)

1 ULA - Universidad de Los Andes [Mérida, Venezuela]
2 LIUPPA - Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour
3 LAAS-DISCO - Équipe DIagnostic, Supervision et COnduite

The chronicles paradigm has been used to determine fault in dynamic systems, allows modeling the temporal relationships between observable events and describing the patterns of behavior of the system. The mechanisms used until now usually use semi-centralized approaches, which consist of a central component, that is responsible for making the final inference about the fault diagnosis of the system based on the information collected from the local diagnosers. This model has problems when is implemented for monitoring very large systems, due to the bottleneck representing the central component. In this paper we define a recognition mechanism for a recognition fully distributed of chronicle using Continuous Query Language (CQL). This approach is tested in a classical Web Service Application.

Mots clés: Distributed Fault Diagnostic; Web service composition; Distributed Pattern Recognition; fault tolerance; Temporal patterns recognition; Chronicles

Domaines: Intelligence artificielle [cs.AI]

Juan Vizcarrondo, Jose Aguilar, Ernesto Expósito, Audine Subias. Building Distributed Chronicles for Fault Diagnostic in Distributed Systems using Continuous Query Language (CQL). International Journal of Engineering Research and Development, 2015, 3 (1), pp.131-144. ⟨hal-02412446⟩