Autonomic Management using Self-Stabilization for Hierarchical and Distributed Middleware - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2015

Autonomic Management using Self-Stabilization for Hierarchical and Distributed Middleware

Résumé

Dynamic nature of distributed architecture is a major challenge to avail the benefits of distributed computing. An effective solution to deal with this dynamic nature is to implement a self-adaptive mechanism to sustain the distributed architecture. Self-adaptive systems can autonomously modify their behavior at run-time in response to changes in their environment. This capability may be included in the software systems at design time or later by external mechanisms. Our paper describes the self- adaptive algorithm that we developed for an existing middleware. Once the middleware is deployed, it can detect a set of events which indicate an unstable deployment state. When an event is detected, some instructions are executed to handle the event. We have designed a simulator to have a deeper insights of our proposed self-adaptive algorithm. Results of our simulated experiments validate the safe convergence of the algorithm.
Fichier principal
Vignette du fichier
dasc2015 (1).pdf (394.79 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01239792 , version 1 (08-12-2015)

Licence

Identifiants

  • HAL Id : hal-01239792 , version 1

Citer

Eddy Caron, Maurice-Djibril Faye, Ousmane Thiare. Autonomic Management using Self-Stabilization for Hierarchical and Distributed Middleware. The 2015 International Symposium on Advances in Autonomic and Secure Computing and Communications (ASCC-2015). In conjunction with DASC-15., Oct 2015, Liverpool, United Kingdom. ⟨hal-01239792⟩
432 Consultations
167 Téléchargements

Partager

Gmail Mastodon Facebook X LinkedIn More