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OSPF failure reconvergence through SRG inference and prediction of link state advertisements

Authors
  • Puype, Bart
  • Papadimitriou, Dimitri
  • Das, Goutam
  • Colle, Didier
  • Pickavet, Mario
  • Demeester, Piet
Publication Date
Jan 01, 2011
Source
Ghent University Institutional Archive
Keywords
Language
English
License
Unknown
External links

Abstract

We demonstrate machine learning augmented Open Shortest Path First (OSPF) routing which infers Shared Risk Groups (SRG) from link failure history. For an initial link failure matching an SRG, it predicts subsequent link state advertisements corresponding with that SRG, improving convergence and recovery times during multiple network failures.

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