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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.
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https://hal.inria.fr/hal-01239792
Contributor : Eddy Caron <>
Submitted on : Tuesday, December 8, 2015 - 11:44:32 AM
Last modification on : Wednesday, November 20, 2019 - 3:02:23 AM
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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⟩

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