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CONEXT
2006
ACM

Inferring groups of correlated failures

11 years 4 months ago
Inferring groups of correlated failures
We compare and evaluate different methods to infer groups of correlated failures. These methods try to group failure events occurring nearly simultaneously in clusters. Indeed if several failures occur nearly at the same moment in a network, it is possible that these failures have the same root cause. The input data of our algorithms are IP failure notifications that can be provided by several sources. We consider two sources: IS-IS Link State Packets (LSPs) and Syslog messages. Our first results on the Abilene and G´EANT networks show that the inference methods behave differently and that using IS-IS LSPs provides more accurate results than using Syslog messages. Categories and Subject Descriptors: C.2.3 [Network Operations]: Network monitoring
Jean Lepropre, Guy Leduc
Added 13 Jun 2010
Updated 13 Jun 2010
Type Conference
Year 2006
Where CONEXT
Authors Jean Lepropre, Guy Leduc
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