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A failure detector based on processes’ relevance and the confidence degree in the system for self-healing in ubiquitous environments

Anubis Graciela de Moraes Rossetto 1 Carlos Rolim 2 Valderi Leithardt 2 Claudio R. Geyer 2 Luciana Arantes 3, 4 Pierre Sens 3, 4
1 IFSUL - Instituto Federal Sul-rio-grandense [Passo Fundo]
2 UFRGS - Instituto de Informática da UFRGS
3 LIP6 - Laboratoire d'Informatique de Paris 6
4 Regal - Large-Scale Distributed Systems and Applications
LIP6 - Laboratoire d'Informatique de Paris 6, Inria Paris-Rocquencourt
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https://hal.inria.fr/hal-01355320
Contributor : Pierre Sens <>
Submitted on : Tuesday, August 23, 2016 - 8:43:52 AM
Last modification on : Friday, January 8, 2021 - 5:46:03 PM

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  • HAL Id : hal-01355320, version 1

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CNRS | UPMC | LIP6 | INRIA | SORBONNE-UNIVERSITE | SU-SCIENCES

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Anubis Graciela de Moraes Rossetto, Carlos Rolim, Valderi Leithardt, Claudio R. Geyer, Luciana Arantes, et al.. A failure detector based on processes’ relevance and the confidence degree in the system for self-healing in ubiquitous environments. Ciprian Dobre; Fatos Xhafa Pervasive Computing , pp.23, 2016, Next Generation Platforms for Intelligent Data Collection ISBN: 978-0-12-803663-1. ⟨hal-01355320⟩

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