DocumentCode
2265319
Title
Autonomic fault management based on cognitive control loops
Author
Kim, Sung-Su ; Seo, Sin-seok ; Kang, Joon-Myung ; Hong, James Won-Ki
fYear
2012
fDate
16-20 April 2012
Firstpage
1104
Lastpage
1110
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Operations and Management Symposium (NOMS), 2012 IEEE
Conference_Location
Maui, HI
ISSN
1542-1201
Print_ISBN
978-1-4673-0267-8
Electronic_ISBN
1542-1201
Type
conf
DOI
10.1109/NOMS.2012.6212036
Filename
6212036
Link To Document