Title :
Autonomic fault management based on cognitive control loops
Author :
Kim, Sung-Su ; Seo, Sin-seok ; Kang, Joon-Myung ; Hong, James Won-Ki
Abstract :
This paper presents an efficient fault management approach based on cognitive control loops in order to support autonomic network management for the Future Internet. The cognitive control loops determines urgency of network alarms, processes urgent alarms more quickly, and then infers root causes of the problems based on learning and reasoning. We show that we reduce a number of alarms by correlation and detect alarm priorities using an ontology model based on the policy.
Keywords :
Internet; cognitive systems; computer network management; inference mechanisms; learning (artificial intelligence); ontologies (artificial intelligence); Future Internet; alarm priority detection; autonomic fault management; autonomic network management; cognitive control loops; learning; network alarm urgency determination; ontology model; reasoning; root causes; Association rules; Cognition; Correlation; Gold; IP networks; Internet; Ontologies; Alarm Correlation; Association Rule Mining; Autonomic Fault Management; Cognitive Management;
Conference_Titel :
Network Operations and Management Symposium (NOMS), 2012 IEEE
Conference_Location :
Maui, HI
Print_ISBN :
978-1-4673-0267-8
Electronic_ISBN :
1542-1201
DOI :
10.1109/NOMS.2012.6212036
