Title :
Diagnosing network faults using bayesian and case-based reasoning techniques
Author :
Ali, Essam S. ; Darwish, M.G.
Author_Institution :
Egyptian Air Force, Cairo
Abstract :
Proper and rapid identification of faults is of premier importance for efficient management of computer networks. Many detection and diagnosis methodologies based on artificial and computational intelligence have been proposed to aid in understanding network problems, perform troubleshooting actions and reduce human intervention under serious situations. This paper introduces a new hybrid approach with the simulation experiments conducted and its results.
Keywords :
belief networks; case-based reasoning; computer network management; fault diagnosis; Bayesian network; case-based reasoning; computer network fault diagnosis; computer network management; Availability; Bayesian methods; Computer network management; Degradation; Fault detection; Fault diagnosis; Information management; Protocols; Telecommunication traffic; Traffic control;
Conference_Titel :
Computer Engineering & Systems, 2007. ICCES '07. International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-1365-2
Electronic_ISBN :
978-1-1244-1366-9
DOI :
10.1109/ICCES.2007.4447040
