Reducing Network Downtime by Intelligent Fault Analysis
Fault management system remains as a critical component of any Network Management System present in the telecom industry. The final goal for any telecom service provider is to develop a high availability of service to its customers. For any telecom operator there’ll this module Alarm system or even known as Fault Management system to handle the faults in the system. The faults can be ranging anywhere from a hardware fault, a security breach, a software error or anything which can be a possible threat to the high availability of the service. With the number of customers increasing daily, the network in telecom graphs form like an evolving graph. Thus, the complexity of the telecom network also increases with the increase in nodes.
Considering the software faults apart, the amount of hardware faults is increasing in an alarming rate. This is because most of the operators build the hardware infrastructure in a hybrid fashion i.e., with different hardware from different providers. Many of these hardware faults can lead to denial of service to the customers and are of critical severity. As for the service provider, one hardware fault can impact connected nodes in the network and might also bring down a huge part of it. This paper deals with a solution from a service provider’s point of view, that when multiple faults are reported by the fault management system, it should prioritize the faults in the order that they need to be resolved so that the loss incurred is minimized.
KeywordsNetworks Telecom Topology Fault management Dependency graphs Network graphs
- 1.Kulatunge, A., Basu, K., Lee, H.C., Prakash, M.: Network fault prediction and proactive maintenance system. Nortel Networks Limited, St. Laurent & Patterson, L.L.P US Patent 6,353,902 B1, 5 Mar 2002Google Scholar
- 2.Kaffine, D.M., Rosen, J.S., Schmidt, P.H.: Network fault isolation. Teradyne, Inc., Boston, MA, USA, US Patent 6,654.914 9 9 B1, 25 Nov 2003Google Scholar
- 3.Lutz, C., Nall, N.L., Spain, D., Sexton, O.R.: Proactive analysis of communication network problems. AT & T Intellectual Property I, L.P., Atlanta, GA, USA, US Patent 7,974,387 B2, 5 July 2011Google Scholar
- 4.Penido, G., Nogueira, J.M., Machado, C.: An automatic fault diagnosis and correction system for telecommunications management. Published in Integrated Network Management VI. Distributed Management for the Networked Millennium. Proceedings of the Sixth IFIP/IEEE International Symposium on Integrated Network Management. (Cat. No.99EX302) (1999)Google Scholar
- 5.Raman, L.G.: Fundamentals of Telecommunications Network Management Wiley/IEEE Press (1999). ISBN: 978-0-7803-3466-3Google Scholar
- 6.Aghasaryan, A., Jard, C., Thomas, J.: UML specification of a generic model for fault diagnosis of telecommunications networks. In: ICT (2004)Google Scholar
- 7.Liebowitz, J. (ed.): Expert System Applications to Telecommunications. Wiley, New York (1988)Google Scholar
- 10.Enhanced Telecom Operations Map. TeleManagement Forum. http://www.tmforum.org
- 12.Fitzgerald, J., Dennis, A.: Business Data Communications and Networking, 5th edn. Wiley, Hoboken (1996)Google Scholar
- 13.Wolfe, A.: IBM sets its sights on ‘autonomic computing’. IEEE Spectr. 39, 18–19 (2002)Google Scholar
- 15.Sterritt, R., Curran, E.P., Song, H.: HACKER: human and computer knowledge discovered event rules for telecommunications fault management. In: Proceedings of IEEE International Conference on Systems, Man & Cybernetics, October 2002Google Scholar