An Agent Architecture to Enable Self-healing and Context-aware Web of Things Applications

Rafael Angarita (1) , Maude Manouvrier (1) , Marta Rukoz (1)

1 LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision

The Internet of Things paradigm promises to connect billions of objects in an Internet-like structure. Applications composed from connected objects in the Internet of Things are expected to have a huge impact in the transportation and logistics, healthcare, smart environments, and personal and social domains. The world of things is much more complex, dynamic, mobile, and failure prone than the world of computers, with contexts changing rapidly and in unpredictable ways. The growing complexity of Internet of Things applications will be unmanageable, and will hamper the creation of new services and applications, unless the systems will show " self-* " functionality such as self-management, self-healing and self-configuration. The Web of Things builds on top of the Internet of Things to create applications composed of smart things relying on standard and well-known Web technologies. In this paper, we present a new agent architecture to enable self-healing and context-aware Web of Things applications. Our agents are the representation of physical objects, Web services, or humans in the Web.

Mots clés: Internet of Things; Web of Things; Self-healing; Fault-tolerance; Application-context-aware

Domaines: Réseaux et télécommunications [cs.NI]; Web; Génie logiciel [cs.SE]

Rafael Angarita, Maude Manouvrier, Marta Rukoz. An Agent Architecture to Enable Self-healing and Context-aware Web of Things Applications. International Conference of Internet of Things and Big Data (IoTBD 2016), Apr 2016, Rome, Italy. pp.82-87, ⟨10.5220/0005932200820087⟩. ⟨hal-01487005⟩