From Resilient Computing Architectural Concepts to Wireless Sensor Network-based Applications

Miruna Stoicescu 1 Jean-Charles Fabre 1 Matthieu Roy 1 Animesh Pathak 2
1 LAAS-TSF - Équipe Tolérance aux fautes et Sûreté de Fonctionnement informatique
LAAS - Laboratoire d'analyse et d'architecture des systèmes [Toulouse]
2 MIMOVE - Middleware on the Move
Inria Paris-Rocquencourt
Abstract : Resilient computing is defined as the ability of a system to remain dependable when facing changes. To mitigate faults at runtime, dependable systems employ fault tolerance mechanisms such as replication techniques. These mechanisms have to be systematically and rigorously applied in order to guarantee the conformance between the application runtime behavior and its dependability requirements. To this end, we propose architectural concepts for developing resilient computing systems using component-based middleware. The development process of adaptive fault tolerance (AFT) is shortly presented. We then illustrate the benefits of AFT on a Wireless Sensor Network-based application for parking management.
Keywords : resilience adaptation software architecture
Type de document :
Communication dans un congrès
EDCC 2014 - Tenth European Dependable Computing Conference, May 2014, Newcastle upon Tyne, United Kingdom. IEEE, pp.46 - 49, 2014, 〈10.1109/EDCC.2014.23〉
Liste complète des métadonnées
https://hal.inria.fr/hal-00938389
Contributeur : Animesh Pathak <>
Soumis le : mercredi 29 janvier 2014 - 13:51:52
Dernière modification le : vendredi 15 juin 2018 - 01:19:35

Identifiants

Collections

UNIV-TLSE3 | INRIA | INSA-TOULOUSE | LAAS-TSF | LAAS-INFORMATIQUE-CRITIQUE | LAAS

Citation

Miruna Stoicescu, Jean-Charles Fabre, Matthieu Roy, Animesh Pathak. From Resilient Computing Architectural Concepts to Wireless Sensor Network-based Applications. EDCC 2014 - Tenth European Dependable Computing Conference, May 2014, Newcastle upon Tyne, United Kingdom. IEEE, pp.46 - 49, 2014, 〈10.1109/EDCC.2014.23〉. 〈hal-00938389〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

293

Contact


archive-ouverte@inria.fr