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Highly Reliable Stochastic Flow Network Reliability Estimation

Héctor Cancela 1 Leslie Murray 2 Gerardo Rubino 2
1 INCO - Instituto de Computacion [Montevideo]
2 DIONYSOS - Dependability Interoperability and perfOrmance aNalYsiS Of networkS
Inria Rennes – Bretagne Atlantique , IRISA-D2 - RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES
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Conference papers
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https://hal.inria.fr/hal-01423588
Contributor : Yassine Hadjadj Aoul <>
Submitted on : Friday, December 30, 2016 - 1:30:54 PM
Last modification on : Friday, January 8, 2021 - 3:12:37 AM

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  • HAL Id : hal-01423588, version 1

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CNRS | INSTITUT-TELECOM | UNIV-RENNES1 | INRIA | IRISA | CENTRALESUPELEC | UR1-UFR-ISTIC | UNIV-RENNES | IRISA-D2 | INSA-RENNES

Citation

Héctor Cancela, Leslie Murray, Gerardo Rubino. Highly Reliable Stochastic Flow Network Reliability Estimation. CLEI’16 (Latino-American Computer Science conference XLII), Oct 2016, Valparaiso, Chile. ⟨hal-01423588⟩

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