Autonomic framework based on decision models for self-management of ubiquitous systems

Mahdi Ben Alaya (1, 2) , Thierry Monteil (1, 2) , Khalil Drira (1, 2)

1 LAAS-SARA - Équipe Services et Architectures pour Réseaux Avancés
2 INSA Toulouse - Institut National des Sciences Appliquées - Toulouse

Internet of things consists of a high amount of heterogeneous objects that are widely distributed and evolve frequently according to their context changes. Management of such complex environment is costly in terms of time and money. Designing context aware autonomic framework with capability of self-management is a challenge. This paper proposes FRAMESELF, a generic and extensible autonomic framework based on ontology and graph models, and reasoning rules to self-manage ubiquitous environment. A smart metering use case is experimented to illustrate the proposed solution.

Mots clés: graph; smart metering; Internet of things; autonomic computing; self-management; context-awareness; expert system; model; ontology

Domaines: Informatique [cs]

Mahdi Ben Alaya, Thierry Monteil, Khalil Drira. Autonomic framework based on decision models for self-management of ubiquitous systems. Smart Gadgets Meet Ubiquitous and Social Robots on the Web (Ubirobots'12), Sep 2012, Pittsburg, United States. ⟨hal-01228325⟩