Skip to Main content Skip to Navigation
Conference papers

Autonomic Management using Self-Stabilization for Hierarchical and Distributed Middleware

Abstract : 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.
Complete list of metadata

Cited literature [17 references]  Display  Hide  Download
Contributor : Eddy Caron Connect in order to contact the contributor
Submitted on : Tuesday, December 8, 2015 - 11:44:32 AM
Last modification on : Thursday, January 20, 2022 - 5:31:53 PM
Long-term archiving on: : Saturday, April 29, 2017 - 8:46:58 AM


dasc2015 (1).pdf
Files produced by the author(s)


Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives 4.0 International License


  • HAL Id : hal-01239792, version 1



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⟩



Les métriques sont temporairement indisponibles