An approach to adaptive dependability assessment in dynamic and evolving connected systems - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue International Journal of Adaptive, Resilient and Autonomic Systems Année : 2013

An approach to adaptive dependability assessment in dynamic and evolving connected systems

Résumé

Complexity, heterogeneity, interdependencies and, especially, evolution of system/ services specifications, related operating environments and user needs, are more and more highly relevant characteristics of modern and future software applications. Taking advantage of the experience gained in the context of the European project CONNECT, which addresses the challenging and ambitious topic of eternally functioning distributed and heterogeneous systems, in this paper we present a framework to analyse and assess dependability and performance properties in dynamic and evolving contexts. The goal is to develop an adaptive approach by coupling stochastic model-based analysis, performed at design time to support the definition and implementation of software products complying with their stated dependability and performance requirements, with run-time monitoring to re-calibrate and enhance the dependability and performance prediction along evolution. The proposed framework for adaptive assessment is described and illustrated through a case study. To simplify the description while making more concrete the approach under study, we adopted the setting and terminology of the CONNECT project.
Fichier principal
Vignette du fichier
main-ijaras.pdf (1.1 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00758396 , version 1 (28-11-2012)

Identifiants

  • HAL Id : hal-00758396 , version 1

Citer

Antonia Bertolino, Antonello Calabrò, Felicita Di Giandomenico, Nicola Nostro. An approach to adaptive dependability assessment in dynamic and evolving connected systems. International Journal of Adaptive, Resilient and Autonomic Systems , 2013. ⟨hal-00758396⟩

Collections

CONNECT
100 Consultations
225 Téléchargements

Partager

Gmail Facebook X LinkedIn More